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You searched for subject:(cluster analysis methods). Showing records 1 – 30 of 55 total matches.

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Stellenbosch University

1. Kenyon, Jacob Bradley. Improving hyperplane based density clustering solutions with applications in image processing.

Degree: MCom, Statistics and Actuarial Science, 2019, Stellenbosch University

ENGLISH SUMMARY : Minimum Density Hyperplane (MDH) clustering is a recently proposed method that seeks the location of an optimal low-density separator by directly minimising… (more)

Subjects/Keywords: Cluster analysis; Image segmentation; Cluster analysis; Low density separation; Mean shift; Spatial analysis (Statistics); Image processing  – Statistical methods; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kenyon, J. B. (2019). Improving hyperplane based density clustering solutions with applications in image processing. (Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/106178

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kenyon, Jacob Bradley. “Improving hyperplane based density clustering solutions with applications in image processing.” 2019. Thesis, Stellenbosch University. Accessed December 05, 2020. http://hdl.handle.net/10019.1/106178.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kenyon, Jacob Bradley. “Improving hyperplane based density clustering solutions with applications in image processing.” 2019. Web. 05 Dec 2020.

Vancouver:

Kenyon JB. Improving hyperplane based density clustering solutions with applications in image processing. [Internet] [Thesis]. Stellenbosch University; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10019.1/106178.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kenyon JB. Improving hyperplane based density clustering solutions with applications in image processing. [Thesis]. Stellenbosch University; 2019. Available from: http://hdl.handle.net/10019.1/106178

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Exeter

2. Hutchison, Fiona Catherine. Socio-cultural impacts of museums for their local communities : the case of the Royal Albert Memorial Museum, Exeter.

Degree: PhD, 2013, University of Exeter

 In the English museums sector, an impetus for impact assessment stems from an internal ethos towards producing positive impacts for the public. Furthermore, as institutions… (more)

Subjects/Keywords: 069; Cultural Management; Museum Studies; Cultural Policy; Quantitative Methods; Cluster Analysis

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APA (6th Edition):

Hutchison, F. C. (2013). Socio-cultural impacts of museums for their local communities : the case of the Royal Albert Memorial Museum, Exeter. (Doctoral Dissertation). University of Exeter. Retrieved from http://hdl.handle.net/10871/14387

Chicago Manual of Style (16th Edition):

Hutchison, Fiona Catherine. “Socio-cultural impacts of museums for their local communities : the case of the Royal Albert Memorial Museum, Exeter.” 2013. Doctoral Dissertation, University of Exeter. Accessed December 05, 2020. http://hdl.handle.net/10871/14387.

MLA Handbook (7th Edition):

Hutchison, Fiona Catherine. “Socio-cultural impacts of museums for their local communities : the case of the Royal Albert Memorial Museum, Exeter.” 2013. Web. 05 Dec 2020.

Vancouver:

Hutchison FC. Socio-cultural impacts of museums for their local communities : the case of the Royal Albert Memorial Museum, Exeter. [Internet] [Doctoral dissertation]. University of Exeter; 2013. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10871/14387.

Council of Science Editors:

Hutchison FC. Socio-cultural impacts of museums for their local communities : the case of the Royal Albert Memorial Museum, Exeter. [Doctoral Dissertation]. University of Exeter; 2013. Available from: http://hdl.handle.net/10871/14387


Columbia University

3. Yu, Gary. Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures.

Degree: 2014, Columbia University

 Finite mixture modeling is a useful statistical technique for clustering individuals based on patterns of responses. The fundamental idea of the mixture modeling approach is… (more)

Subjects/Keywords: Biometry; Public health – Research – Methodology; Cluster analysis; Pattern recognition systems – Statistical methods; Discriminant analysis; Machine learning – Statistical methods

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APA (6th Edition):

Yu, G. (2014). Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8F197VX

Chicago Manual of Style (16th Edition):

Yu, Gary. “Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures.” 2014. Doctoral Dissertation, Columbia University. Accessed December 05, 2020. https://doi.org/10.7916/D8F197VX.

MLA Handbook (7th Edition):

Yu, Gary. “Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures.” 2014. Web. 05 Dec 2020.

Vancouver:

Yu G. Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures. [Internet] [Doctoral dissertation]. Columbia University; 2014. [cited 2020 Dec 05]. Available from: https://doi.org/10.7916/D8F197VX.

Council of Science Editors:

Yu G. Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures. [Doctoral Dissertation]. Columbia University; 2014. Available from: https://doi.org/10.7916/D8F197VX


Brno University of Technology

4. Šalplachta, Jakub. Texturní analýza nádorových tkání v CT obrazových datech plic.: Texture analysis of tumor tissue in lung CT data.

Degree: 2019, Brno University of Technology

 The aim of this work is the revelation of the possibility of the use of texture analysis methods to detection and segmentation tumor tissue in… (more)

Subjects/Keywords: texturní analýza; mikrotexturní metody; statistické metody; shluková analýza; texture analysis; microtexture methods; statistical methods; cluster analysis

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APA (6th Edition):

Šalplachta, J. (2019). Texturní analýza nádorových tkání v CT obrazových datech plic.: Texture analysis of tumor tissue in lung CT data. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/40714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Šalplachta, Jakub. “Texturní analýza nádorových tkání v CT obrazových datech plic.: Texture analysis of tumor tissue in lung CT data.” 2019. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/40714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Šalplachta, Jakub. “Texturní analýza nádorových tkání v CT obrazových datech plic.: Texture analysis of tumor tissue in lung CT data.” 2019. Web. 05 Dec 2020.

Vancouver:

Šalplachta J. Texturní analýza nádorových tkání v CT obrazových datech plic.: Texture analysis of tumor tissue in lung CT data. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/40714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Šalplachta J. Texturní analýza nádorových tkání v CT obrazových datech plic.: Texture analysis of tumor tissue in lung CT data. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/40714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of South Africa

5. Smith, Sean Michael. Uncovering views from the occupy movement : Johannesburg leg .

Degree: 2015, University of South Africa

 This exploratory study set out to uncover views from the Occupy Movement’s Johannesburg leg. The Occupy Movement arose in late 2011, aiming to occupy public… (more)

Subjects/Keywords: Occupy Movement; Occupy Johannesburg; Social psychology; Protest psychology; Mixed methods; Cluster analysis

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APA (6th Edition):

Smith, S. M. (2015). Uncovering views from the occupy movement : Johannesburg leg . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/15371

Chicago Manual of Style (16th Edition):

Smith, Sean Michael. “Uncovering views from the occupy movement : Johannesburg leg .” 2015. Masters Thesis, University of South Africa. Accessed December 05, 2020. http://hdl.handle.net/10500/15371.

MLA Handbook (7th Edition):

Smith, Sean Michael. “Uncovering views from the occupy movement : Johannesburg leg .” 2015. Web. 05 Dec 2020.

Vancouver:

Smith SM. Uncovering views from the occupy movement : Johannesburg leg . [Internet] [Masters thesis]. University of South Africa; 2015. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10500/15371.

Council of Science Editors:

Smith SM. Uncovering views from the occupy movement : Johannesburg leg . [Masters Thesis]. University of South Africa; 2015. Available from: http://hdl.handle.net/10500/15371


University of Cambridge

6. Ferreira Cardia Haddad, Michel. Harnessing the power of intersection for data disaggregation: a novel similarity measure and unsupervised data-driven classification method applied to financial contagion.

Degree: PhD, 2019, University of Cambridge

 Motivated by limitations in applying existing unsupervised classification methods to economic data partitioning, a nonparametric, deterministic, and robust data-driven partitional hard cluster analysis, derived from… (more)

Subjects/Keywords: Cluster analysis; Financial contagion; Portfolio diversification; Nonparametric methods; Similarity measure; Unsupervised classification

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ferreira Cardia Haddad, M. (2019). Harnessing the power of intersection for data disaggregation: a novel similarity measure and unsupervised data-driven classification method applied to financial contagion. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/305300

Chicago Manual of Style (16th Edition):

Ferreira Cardia Haddad, Michel. “Harnessing the power of intersection for data disaggregation: a novel similarity measure and unsupervised data-driven classification method applied to financial contagion.” 2019. Doctoral Dissertation, University of Cambridge. Accessed December 05, 2020. https://www.repository.cam.ac.uk/handle/1810/305300.

MLA Handbook (7th Edition):

Ferreira Cardia Haddad, Michel. “Harnessing the power of intersection for data disaggregation: a novel similarity measure and unsupervised data-driven classification method applied to financial contagion.” 2019. Web. 05 Dec 2020.

Vancouver:

Ferreira Cardia Haddad M. Harnessing the power of intersection for data disaggregation: a novel similarity measure and unsupervised data-driven classification method applied to financial contagion. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Dec 05]. Available from: https://www.repository.cam.ac.uk/handle/1810/305300.

Council of Science Editors:

Ferreira Cardia Haddad M. Harnessing the power of intersection for data disaggregation: a novel similarity measure and unsupervised data-driven classification method applied to financial contagion. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/305300


Columbia University

7. Huang, Chien-Hsun. Interaction-Based Learning for High-Dimensional Data with Continuous Predictors.

Degree: 2014, Columbia University

 High-dimensional data, such as that relating to gene expression in microarray experiments, may contain substantial amount of useful information to be explored. However, the information,… (more)

Subjects/Keywords: Epistasis (Genetics); Instrumental variables (Statistics); Nonparametric statistics; Cluster analysis; Machine learning – Statistical methods; Statistics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, C. (2014). Interaction-Based Learning for High-Dimensional Data with Continuous Predictors. (Doctoral Dissertation). Columbia University. Retrieved from https://doi.org/10.7916/D8X928CH

Chicago Manual of Style (16th Edition):

Huang, Chien-Hsun. “Interaction-Based Learning for High-Dimensional Data with Continuous Predictors.” 2014. Doctoral Dissertation, Columbia University. Accessed December 05, 2020. https://doi.org/10.7916/D8X928CH.

MLA Handbook (7th Edition):

Huang, Chien-Hsun. “Interaction-Based Learning for High-Dimensional Data with Continuous Predictors.” 2014. Web. 05 Dec 2020.

Vancouver:

Huang C. Interaction-Based Learning for High-Dimensional Data with Continuous Predictors. [Internet] [Doctoral dissertation]. Columbia University; 2014. [cited 2020 Dec 05]. Available from: https://doi.org/10.7916/D8X928CH.

Council of Science Editors:

Huang C. Interaction-Based Learning for High-Dimensional Data with Continuous Predictors. [Doctoral Dissertation]. Columbia University; 2014. Available from: https://doi.org/10.7916/D8X928CH

8. Thiprungsri, Sutapat, 1977-. Cluster analysis for anomaly detection in accounting.

Degree: Management, 2012, Rutgers University

Subjects/Keywords: Cluster analysis; Auditing—Statistical methods

…other data analysis methods, cluster analysis has been developed throughout the years in many… …6 1.3 Cluster Analysis… …8 1.3.2 Steps in Cluster Analysis… …16 2.1 Cluster Analysis… …38 Chapter 3 : Cluster Analysis for Exploratory Data Analysis in Auditing… 

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APA (6th Edition):

Thiprungsri, Sutapat, 1. (2012). Cluster analysis for anomaly detection in accounting. (Thesis). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000063977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thiprungsri, Sutapat, 1977-. “Cluster analysis for anomaly detection in accounting.” 2012. Thesis, Rutgers University. Accessed December 05, 2020. http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000063977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thiprungsri, Sutapat, 1977-. “Cluster analysis for anomaly detection in accounting.” 2012. Web. 05 Dec 2020.

Vancouver:

Thiprungsri, Sutapat 1. Cluster analysis for anomaly detection in accounting. [Internet] [Thesis]. Rutgers University; 2012. [cited 2020 Dec 05]. Available from: http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000063977.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thiprungsri, Sutapat 1. Cluster analysis for anomaly detection in accounting. [Thesis]. Rutgers University; 2012. Available from: http://hdl.rutgers.edu/1782.1/rucore10002600001.ETD.000063977

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Georgia

9. Wilke, Jeremiah James. Subchemical accuracy in combustion thermochemistry via ab initio methods.

Degree: 2014, University of Georgia

 Wavefunction-based methods in quantum chemistry provide simultaneously the most accurate, but also most expensive method for computing molecular properties. In particular, the realm of ``subchemical'… (more)

Subjects/Keywords: coupled cluster theory; Mo ller-Plesset perturbation theory; basis set extrapolation; R12 methods; explicitly-correlated methods; computational thermochemistry; focal point analysis

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APA (6th Edition):

Wilke, J. J. (2014). Subchemical accuracy in combustion thermochemistry via ab initio methods. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/27346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wilke, Jeremiah James. “Subchemical accuracy in combustion thermochemistry via ab initio methods.” 2014. Thesis, University of Georgia. Accessed December 05, 2020. http://hdl.handle.net/10724/27346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wilke, Jeremiah James. “Subchemical accuracy in combustion thermochemistry via ab initio methods.” 2014. Web. 05 Dec 2020.

Vancouver:

Wilke JJ. Subchemical accuracy in combustion thermochemistry via ab initio methods. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10724/27346.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wilke JJ. Subchemical accuracy in combustion thermochemistry via ab initio methods. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/27346

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Nova

10. Tavares, Jorge Manuel Santos Freire. Exploraty Multivariate Statistical Methods Applied to Pharmaceutical Industry CRM Data.

Degree: 2008, Universidade Nova

Dissertação apresentada como requisito parcial para obtenção do grau de Mestre em Estatística e Gestão de Informação

An analysis of the current CRM systems in… (more)

Subjects/Keywords: Customer Relatationship Management; Pharmaceutical Industry; Exploratory Multivariate Statistical Methods; Factor Analysis; Hierarchical Cluster analysis; Self- Organizing Map

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APA (6th Edition):

Tavares, J. M. S. F. (2008). Exploraty Multivariate Statistical Methods Applied to Pharmaceutical Industry CRM Data. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8218

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Tavares, Jorge Manuel Santos Freire. “Exploraty Multivariate Statistical Methods Applied to Pharmaceutical Industry CRM Data.” 2008. Thesis, Universidade Nova. Accessed December 05, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8218.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Tavares, Jorge Manuel Santos Freire. “Exploraty Multivariate Statistical Methods Applied to Pharmaceutical Industry CRM Data.” 2008. Web. 05 Dec 2020.

Vancouver:

Tavares JMSF. Exploraty Multivariate Statistical Methods Applied to Pharmaceutical Industry CRM Data. [Internet] [Thesis]. Universidade Nova; 2008. [cited 2020 Dec 05]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8218.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Tavares JMSF. Exploraty Multivariate Statistical Methods Applied to Pharmaceutical Industry CRM Data. [Thesis]. Universidade Nova; 2008. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8218

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

11. Barvenčík, Oldřich. Statistické klasifikační metody: Statistical Classification Methods.

Degree: 2019, Brno University of Technology

 The thesis deals with selected classification methods. The thesis describes the basis of cluster analysis, discriminant analysis and theory of classification trees. The usage is… (more)

Subjects/Keywords: klasifikační metody; shluková analýza; diskriminační analýza; klasifikační stromy; classification methods; cluster analysis; discriminant analysis; classification trees

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Barvenčík, O. (2019). Statistické klasifikační metody: Statistical Classification Methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/16384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Barvenčík, Oldřich. “Statistické klasifikační metody: Statistical Classification Methods.” 2019. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/16384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Barvenčík, Oldřich. “Statistické klasifikační metody: Statistical Classification Methods.” 2019. Web. 05 Dec 2020.

Vancouver:

Barvenčík O. Statistické klasifikační metody: Statistical Classification Methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/16384.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Barvenčík O. Statistické klasifikační metody: Statistical Classification Methods. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/16384

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

12. Trunkát, Jan. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.

Degree: 2020, Brno University of Technology

 The Bachelor thesis is aimed at success rate measure methods in data mining in the area of clustering. It introduces the basic concepts, features of… (more)

Subjects/Keywords: dolování dat; získávání znalostí z databází; shlukování; shluková analýza; shluk; shlukovací metody; data mining; knowledge Discovery in Databases; clustering; cluster analysis; cluster; clustering methods

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APA (6th Edition):

Trunkát, J. (2020). Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/190003

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Trunkát, Jan. “Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.” 2020. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/190003.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Trunkát, Jan. “Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.” 2020. Web. 05 Dec 2020.

Vancouver:

Trunkát J. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/190003.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Trunkát J. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/190003

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

13. Trunkát, Jan. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.

Degree: 2020, Brno University of Technology

 The Bachelor thesis is aimed at success rate measure methods in data mining in the area of clustering. It introduces the basic concepts, features of… (more)

Subjects/Keywords: dolování dat; získávání znalostí z databází; shlukování; shluková analýza; shluk; shlukovací metody; data mining; knowledge Discovery in Databases; clustering; cluster analysis; cluster; clustering methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Trunkát, J. (2020). Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188331

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Trunkát, Jan. “Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.” 2020. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/188331.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Trunkát, Jan. “Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.” 2020. Web. 05 Dec 2020.

Vancouver:

Trunkát J. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/188331.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Trunkát J. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188331

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

14. Trunkát, Jan. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.

Degree: 2019, Brno University of Technology

 The Bachelor thesis is aimed at success rate measure methods in data mining in the area of clustering. It introduces the basic concepts, features of… (more)

Subjects/Keywords: dolování dat; získávání znalostí z databází; shlukování; shluková analýza; shluk; shlukovací metody; data mining; knowledge Discovery in Databases; clustering; cluster analysis; cluster; clustering methods

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APA (6th Edition):

Trunkát, J. (2019). Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54930

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Trunkát, Jan. “Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.” 2019. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/54930.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Trunkát, Jan. “Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining.” 2019. Web. 05 Dec 2020.

Vancouver:

Trunkát J. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/54930.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Trunkát J. Metody měření úspěšnosti dolování dat: Success Rate Measure Methods in Data Mining. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54930

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Georgia

15. Qiu, Yudong. Pushing the ab initio limits for the accurate characterization of small molecular systems.

Degree: 2016, University of Georgia

 Modern quantum chemistry has merged as one of the most important tools for understanding and predicting various properties of chemical systems. Highly accurate <i>ab initio</i>… (more)

Subjects/Keywords: Computational chemistry; Quantum chemistry; ab initio methods; Electronic structure theory; Coupled cluster theory; Multi-reference methods; Focal point analysis; Tunneling analysis; Reaction rates

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APA (6th Edition):

Qiu, Y. (2016). Pushing the ab initio limits for the accurate characterization of small molecular systems. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/33776

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Qiu, Yudong. “Pushing the ab initio limits for the accurate characterization of small molecular systems.” 2016. Thesis, University of Georgia. Accessed December 05, 2020. http://hdl.handle.net/10724/33776.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Qiu, Yudong. “Pushing the ab initio limits for the accurate characterization of small molecular systems.” 2016. Web. 05 Dec 2020.

Vancouver:

Qiu Y. Pushing the ab initio limits for the accurate characterization of small molecular systems. [Internet] [Thesis]. University of Georgia; 2016. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10724/33776.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Qiu Y. Pushing the ab initio limits for the accurate characterization of small molecular systems. [Thesis]. University of Georgia; 2016. Available from: http://hdl.handle.net/10724/33776

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Michigan State University

16. Bates, Michael David. Essays on asymmetric employer learning and the economics of education.

Degree: 2015, Michigan State University

Thesis Ph. D. Michigan State University. Economics 2015

Chapter 1 adapts models of public and private employer learning to the market for teachers. It then… (more)

Subjects/Keywords: Teachers – North Carolina – Evaluation – Econometric models; Labor mobility – United States – Econometric models; Cluster analysis – Statistical methods; Economics; Economics, Labor; Education policy

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APA (6th Edition):

Bates, M. D. (2015). Essays on asymmetric employer learning and the economics of education. (Thesis). Michigan State University. Retrieved from http://etd.lib.msu.edu/islandora/object/etd:3802

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Bates, Michael David. “Essays on asymmetric employer learning and the economics of education.” 2015. Thesis, Michigan State University. Accessed December 05, 2020. http://etd.lib.msu.edu/islandora/object/etd:3802.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Bates, Michael David. “Essays on asymmetric employer learning and the economics of education.” 2015. Web. 05 Dec 2020.

Vancouver:

Bates MD. Essays on asymmetric employer learning and the economics of education. [Internet] [Thesis]. Michigan State University; 2015. [cited 2020 Dec 05]. Available from: http://etd.lib.msu.edu/islandora/object/etd:3802.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bates MD. Essays on asymmetric employer learning and the economics of education. [Thesis]. Michigan State University; 2015. Available from: http://etd.lib.msu.edu/islandora/object/etd:3802

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Washington

17. Jones, Corinne. Representation Learning for Partitioning Problems.

Degree: PhD, 2020, University of Washington

 This dissertation addresses representation learning for partitioning problems. Clustering a set of data points and segmenting a time series of data points are two classical… (more)

Subjects/Keywords: change-point problem; cluster analysis; kernel-based methods; neural networks; representation learning; stochastic optimization; Statistics; Artificial intelligence; Statistics

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APA (6th Edition):

Jones, C. (2020). Representation Learning for Partitioning Problems. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/46581

Chicago Manual of Style (16th Edition):

Jones, Corinne. “Representation Learning for Partitioning Problems.” 2020. Doctoral Dissertation, University of Washington. Accessed December 05, 2020. http://hdl.handle.net/1773/46581.

MLA Handbook (7th Edition):

Jones, Corinne. “Representation Learning for Partitioning Problems.” 2020. Web. 05 Dec 2020.

Vancouver:

Jones C. Representation Learning for Partitioning Problems. [Internet] [Doctoral dissertation]. University of Washington; 2020. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/1773/46581.

Council of Science Editors:

Jones C. Representation Learning for Partitioning Problems. [Doctoral Dissertation]. University of Washington; 2020. Available from: http://hdl.handle.net/1773/46581


Brno University of Technology

18. Lipták, Šimon. Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods.

Degree: 2020, Brno University of Technology

 The aim of this master's thesis was to get acquainted with cluster analysis, clustering methods and their theoretical properties. It was necessary select clustering algorithms… (more)

Subjects/Keywords: zhluk; zhluková analýza; zhlukovacie metódy; požiadavky na zhlukovú analýzu; ohodnotenie zhlukovania; aplikácia pre zhlukovanie dát; cluster; cluster analysis; clustering methods; requirements for cluster analysis; evaluation of clustering; application for data clustering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lipták, . (2020). Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lipták, Šimon. “Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods.” 2020. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/189947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lipták, Šimon. “Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods.” 2020. Web. 05 Dec 2020.

Vancouver:

Lipták . Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/189947.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lipták . Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189947

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

19. Lipták, Šimon. Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods.

Degree: 2020, Brno University of Technology

 The aim of this master's thesis was to get acquainted with cluster analysis, clustering methods and their theoretical properties. It was necessary select clustering algorithms… (more)

Subjects/Keywords: zhluk; zhluková analýza; zhlukovacie metódy; požiadavky na zhlukovú analýzu; ohodnotenie zhlukovania; aplikácia pre zhlukovanie dát; cluster; cluster analysis; clustering methods; requirements for cluster analysis; evaluation of clustering; application for data clustering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Lipták, . (2020). Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188906

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lipták, Šimon. “Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods.” 2020. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/188906.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lipták, Šimon. “Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods.” 2020. Web. 05 Dec 2020.

Vancouver:

Lipták . Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/188906.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lipták . Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188906

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

20. Lipták, Šimon. Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods.

Degree: 2019, Brno University of Technology

 The aim of this master's thesis was to get acquainted with cluster analysis, clustering methods and their theoretical properties. It was necessary select clustering algorithms… (more)

Subjects/Keywords: zhluk; zhluková analýza; zhlukovacie metódy; požiadavky na zhlukovú analýzu; ohodnotenie zhlukovania; aplikácia pre zhlukovanie dát; cluster; cluster analysis; clustering methods; requirements for cluster analysis; evaluation of clustering; application for data clustering

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APA (6th Edition):

Lipták, . (2019). Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180327

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lipták, Šimon. “Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods.” 2019. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/180327.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lipták, Šimon. “Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods.” 2019. Web. 05 Dec 2020.

Vancouver:

Lipták . Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/180327.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lipták . Analýza vlastností shlukovacích algoritmů: Analysis of Clustering Methods. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180327

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

21. Hezoučký, Ladislav. Nástroj pro shlukovou analýzu: Cluster Analysis Tool.

Degree: 2019, Brno University of Technology

 The master' s thesis deals with cluster data analysis. There are explained basic concepts and methods from this domain. Result of the thesis is Cluster(more)

Subjects/Keywords: Shluková analýza; metody pro shlukování dat; DBSCAN; K-Medoids; Rapid Miner; SAS Miner; porovnání metod.; Cluster analysis; methods for cluster analysis; DBSCAN; K-Medoids; Rapid Miner; SAS Miner; compare results of methods.

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APA (6th Edition):

Hezoučký, L. (2019). Nástroj pro shlukovou analýzu: Cluster Analysis Tool. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54312

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hezoučký, Ladislav. “Nástroj pro shlukovou analýzu: Cluster Analysis Tool.” 2019. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/54312.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hezoučký, Ladislav. “Nástroj pro shlukovou analýzu: Cluster Analysis Tool.” 2019. Web. 05 Dec 2020.

Vancouver:

Hezoučký L. Nástroj pro shlukovou analýzu: Cluster Analysis Tool. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/54312.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hezoučký L. Nástroj pro shlukovou analýzu: Cluster Analysis Tool. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/54312

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


RMIT University

22. Hao, X. Development of Chinese medicine headache questionnaire for tension-type headache.

Degree: 2015, RMIT University

 AIMS: The aims of this thesis project were to use evidence-based approaches to develop and validate the Chinese Medicine Headache Questionnaire (CMHQ) for Tension-type headache… (more)

Subjects/Keywords: Fields of Research; Chinese medicine; Tension-type headache; questionnaire development; pattern identification; Chinese Medicine Headache Questionnaire; systematic review; explorative statistical analytic methods; factor analysis; cluster analysis

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APA (6th Edition):

Hao, X. (2015). Development of Chinese medicine headache questionnaire for tension-type headache. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:161473

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Hao, X. “Development of Chinese medicine headache questionnaire for tension-type headache.” 2015. Thesis, RMIT University. Accessed December 05, 2020. http://researchbank.rmit.edu.au/view/rmit:161473.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Hao, X. “Development of Chinese medicine headache questionnaire for tension-type headache.” 2015. Web. 05 Dec 2020.

Vancouver:

Hao X. Development of Chinese medicine headache questionnaire for tension-type headache. [Internet] [Thesis]. RMIT University; 2015. [cited 2020 Dec 05]. Available from: http://researchbank.rmit.edu.au/view/rmit:161473.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hao X. Development of Chinese medicine headache questionnaire for tension-type headache. [Thesis]. RMIT University; 2015. Available from: http://researchbank.rmit.edu.au/view/rmit:161473

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Macquarie University

23. Heys, Andrew A. Developing a taxonomy of Australasian law firms using configurations of human resources and management.

Degree: 2013, Macquarie University

"September 2012"

Bibliography: pages 212-225.

1. Introduction  – 2. Towards a theory of management and performance in law firms  – 3. On the links between… (more)

Subjects/Keywords: Law firms  – Personnel management; Law firms  – Australia  – Management; Law firms  – Employees  – Job descriptions; Personnel management; Job analysis; taxonomy; mixed methods; law firms; professional services; cluster analysis; performace

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Heys, A. A. (2013). Developing a taxonomy of Australasian law firms using configurations of human resources and management. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/268399

Chicago Manual of Style (16th Edition):

Heys, Andrew A. “Developing a taxonomy of Australasian law firms using configurations of human resources and management.” 2013. Doctoral Dissertation, Macquarie University. Accessed December 05, 2020. http://hdl.handle.net/1959.14/268399.

MLA Handbook (7th Edition):

Heys, Andrew A. “Developing a taxonomy of Australasian law firms using configurations of human resources and management.” 2013. Web. 05 Dec 2020.

Vancouver:

Heys AA. Developing a taxonomy of Australasian law firms using configurations of human resources and management. [Internet] [Doctoral dissertation]. Macquarie University; 2013. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/1959.14/268399.

Council of Science Editors:

Heys AA. Developing a taxonomy of Australasian law firms using configurations of human resources and management. [Doctoral Dissertation]. Macquarie University; 2013. Available from: http://hdl.handle.net/1959.14/268399


Queensland University of Technology

24. Skerman, Helen Mary. Alternative analytical methods for the identification of cancer-related symptom clusters.

Degree: 2010, Queensland University of Technology

 Advances in symptom management strategies through a better understanding of cancer symptom clusters depend on the identification of symptom clusters that are valid and reliable.… (more)

Subjects/Keywords: symptom clusters, symptoms, cancer, symptom experience, symptom management strategies, literature review, empirical methods, multivariate methods, exploratory factor analysis, common factor analysis, cluster analysis, principal axis factoring, stability; longitudinal analysis, chemotherapy, outpatients, nursing research, oncology, Theory of Unpleasant Symptoms

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APA (6th Edition):

Skerman, H. M. (2010). Alternative analytical methods for the identification of cancer-related symptom clusters. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/34503/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Skerman, Helen Mary. “Alternative analytical methods for the identification of cancer-related symptom clusters.” 2010. Thesis, Queensland University of Technology. Accessed December 05, 2020. https://eprints.qut.edu.au/34503/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Skerman, Helen Mary. “Alternative analytical methods for the identification of cancer-related symptom clusters.” 2010. Web. 05 Dec 2020.

Vancouver:

Skerman HM. Alternative analytical methods for the identification of cancer-related symptom clusters. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2020 Dec 05]. Available from: https://eprints.qut.edu.au/34503/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Skerman HM. Alternative analytical methods for the identification of cancer-related symptom clusters. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/34503/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

25. Qu, Haiyan. Factors affecting the quality of rehabilitation care for inpatients with spinal cord injury.

Degree: PhD, 2007, University of Alabama – Birmingham

The quality of inpatient rehabilitation for patients with spinal cord injury (SCI) has been evaluated in many ways. Few studies examined the effects of both… (more)

Subjects/Keywords: Cluster Analysis<; br>; Inpatients  – statistics & numerical data<; br>; Outcome Assessment (Health Care)  – methods<; br>; Rehabilitation  – organization & administration<; br>; Spinal Cord Injuries  – rehabilitation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Qu, H. (2007). Factors affecting the quality of rehabilitation care for inpatients with spinal cord injury. (Doctoral Dissertation). University of Alabama – Birmingham. Retrieved from http://contentdm.mhsl.uab.edu/u?/etd,533

Chicago Manual of Style (16th Edition):

Qu, Haiyan. “Factors affecting the quality of rehabilitation care for inpatients with spinal cord injury.” 2007. Doctoral Dissertation, University of Alabama – Birmingham. Accessed December 05, 2020. http://contentdm.mhsl.uab.edu/u?/etd,533.

MLA Handbook (7th Edition):

Qu, Haiyan. “Factors affecting the quality of rehabilitation care for inpatients with spinal cord injury.” 2007. Web. 05 Dec 2020.

Vancouver:

Qu H. Factors affecting the quality of rehabilitation care for inpatients with spinal cord injury. [Internet] [Doctoral dissertation]. University of Alabama – Birmingham; 2007. [cited 2020 Dec 05]. Available from: http://contentdm.mhsl.uab.edu/u?/etd,533.

Council of Science Editors:

Qu H. Factors affecting the quality of rehabilitation care for inpatients with spinal cord injury. [Doctoral Dissertation]. University of Alabama – Birmingham; 2007. Available from: http://contentdm.mhsl.uab.edu/u?/etd,533

26. Erwin, Cathleen Owens. Characteristics of fundraising for nonprofit hospital organizations.

Degree: PhD, 2010, University of Alabama – Birmingham

This study addresses a gap that has been noted in the charitable fundraising literature, which is a scarcity of theoretically-based studies of fundraising by nonprofit… (more)

Subjects/Keywords: Cluster Analysis<; br>; Fund Raising  – methods<; br>; Fund Raising  – organization & administration<; br>; Models, Organizational<; br>; Organizations, Nonprofit  – economics

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APA (6th Edition):

Erwin, C. O. (2010). Characteristics of fundraising for nonprofit hospital organizations. (Doctoral Dissertation). University of Alabama – Birmingham. Retrieved from http://contentdm.mhsl.uab.edu/u?/etd,709

Chicago Manual of Style (16th Edition):

Erwin, Cathleen Owens. “Characteristics of fundraising for nonprofit hospital organizations.” 2010. Doctoral Dissertation, University of Alabama – Birmingham. Accessed December 05, 2020. http://contentdm.mhsl.uab.edu/u?/etd,709.

MLA Handbook (7th Edition):

Erwin, Cathleen Owens. “Characteristics of fundraising for nonprofit hospital organizations.” 2010. Web. 05 Dec 2020.

Vancouver:

Erwin CO. Characteristics of fundraising for nonprofit hospital organizations. [Internet] [Doctoral dissertation]. University of Alabama – Birmingham; 2010. [cited 2020 Dec 05]. Available from: http://contentdm.mhsl.uab.edu/u?/etd,709.

Council of Science Editors:

Erwin CO. Characteristics of fundraising for nonprofit hospital organizations. [Doctoral Dissertation]. University of Alabama – Birmingham; 2010. Available from: http://contentdm.mhsl.uab.edu/u?/etd,709


University of Manchester

27. Wang, Xinfang. Understanding the drivers behind high energy consumption within UK households: an interdisciplinary approach.

Degree: 2017, University of Manchester

 Anthropogenic climate change is a global problem that affects every country and each individual. The UK introduced its own carbon budgets, aiming to reduce its… (more)

Subjects/Keywords: households; climate mitigation; energy consumption; practice theory; high emitters; segmentation; cluster analysis; mixed methods; residential buildings; energy policy; rebound effects; meanings of the home; interdisciplinary research; practical consciousness; behaviour change

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APA (6th Edition):

Wang, X. (2017). Understanding the drivers behind high energy consumption within UK households: an interdisciplinary approach. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:310079

Chicago Manual of Style (16th Edition):

Wang, Xinfang. “Understanding the drivers behind high energy consumption within UK households: an interdisciplinary approach.” 2017. Doctoral Dissertation, University of Manchester. Accessed December 05, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:310079.

MLA Handbook (7th Edition):

Wang, Xinfang. “Understanding the drivers behind high energy consumption within UK households: an interdisciplinary approach.” 2017. Web. 05 Dec 2020.

Vancouver:

Wang X. Understanding the drivers behind high energy consumption within UK households: an interdisciplinary approach. [Internet] [Doctoral dissertation]. University of Manchester; 2017. [cited 2020 Dec 05]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:310079.

Council of Science Editors:

Wang X. Understanding the drivers behind high energy consumption within UK households: an interdisciplinary approach. [Doctoral Dissertation]. University of Manchester; 2017. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:310079

28. E. Demartini. IL PESCE AZZURRO NELLA MENTE DEL CONSUMATOREANALISI QUALI-QUANTITATIVA DEL PRODOTTO.

Degree: 2012, Università degli Studi di Milano

 Operators and policy makers are concerned about Italian fisheries sector’s economic trend. This research is focused on the market of a broad group of fish… (more)

Subjects/Keywords: pesce azzurro; analisi di mercato; segmentazione; percezione; settore ittico; valorizzazione prodotti tipici; mixed-methods; mappe di percezione; cluster analysis; analisi qualitativa; Settore AGR/01 - Economia ed Estimo Rurale

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Demartini, E. (2012). IL PESCE AZZURRO NELLA MENTE DEL CONSUMATOREANALISI QUALI-QUANTITATIVA DEL PRODOTTO. (Thesis). Università degli Studi di Milano. Retrieved from http://hdl.handle.net/2434/169984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Demartini, E.. “IL PESCE AZZURRO NELLA MENTE DEL CONSUMATOREANALISI QUALI-QUANTITATIVA DEL PRODOTTO.” 2012. Thesis, Università degli Studi di Milano. Accessed December 05, 2020. http://hdl.handle.net/2434/169984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Demartini, E.. “IL PESCE AZZURRO NELLA MENTE DEL CONSUMATOREANALISI QUALI-QUANTITATIVA DEL PRODOTTO.” 2012. Web. 05 Dec 2020.

Vancouver:

Demartini E. IL PESCE AZZURRO NELLA MENTE DEL CONSUMATOREANALISI QUALI-QUANTITATIVA DEL PRODOTTO. [Internet] [Thesis]. Università degli Studi di Milano; 2012. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/2434/169984.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Demartini E. IL PESCE AZZURRO NELLA MENTE DEL CONSUMATOREANALISI QUALI-QUANTITATIVA DEL PRODOTTO. [Thesis]. Università degli Studi di Milano; 2012. Available from: http://hdl.handle.net/2434/169984

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cambridge

29. Javid, Kamran. Physical modelling of galaxy clusters and Bayesian inference in astrophysics.

Degree: PhD, 2019, University of Cambridge

 This thesis is concerned with the modelling of galaxy clusters, applying these models to real and simulated data using Bayesian inference, and the development of… (more)

Subjects/Keywords: Mathematical modelling; Computational Astrophysics; Computational Statistics; Bayesian inference; Applied statistics; Monte Carlo methods; Markov Chain Monte Carlo; Data analysis; Bayesian statistics; Galaxy cluster modelling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Javid, K. (2019). Physical modelling of galaxy clusters and Bayesian inference in astrophysics. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/293473

Chicago Manual of Style (16th Edition):

Javid, Kamran. “Physical modelling of galaxy clusters and Bayesian inference in astrophysics.” 2019. Doctoral Dissertation, University of Cambridge. Accessed December 05, 2020. https://www.repository.cam.ac.uk/handle/1810/293473.

MLA Handbook (7th Edition):

Javid, Kamran. “Physical modelling of galaxy clusters and Bayesian inference in astrophysics.” 2019. Web. 05 Dec 2020.

Vancouver:

Javid K. Physical modelling of galaxy clusters and Bayesian inference in astrophysics. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Dec 05]. Available from: https://www.repository.cam.ac.uk/handle/1810/293473.

Council of Science Editors:

Javid K. Physical modelling of galaxy clusters and Bayesian inference in astrophysics. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/293473


Univerzitet u Beogradu

30. Atanacković, Nebojša B., 1983-. Процена ризика од загађивања водних ресурса под утицајем напуштених рударских радова на простору Србије.

Degree: Rudarsko-geološki fakultet, 2018, Univerzitet u Beogradu

Геолошко инжењерство-Хидрогеологија / Geological Engineering-Hydrogeology

Велики број напуштених рударских радова и ограничена средства за рекултивацију и ремедијацију деградираних простора подстакле су развој метода за издвајање… (more)

Subjects/Keywords: risk assessment; water resources; water bodies; mine water; mining waste; analytical hierarchical processes; cluster analysis; theory of attributes; membership functions; semi-quantitative methods

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Atanacković, Nebojša B., 1. (2018). Процена ризика од загађивања водних ресурса под утицајем напуштених рударских радова на простору Србије. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:18615/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Atanacković, Nebojša B., 1983-. “Процена ризика од загађивања водних ресурса под утицајем напуштених рударских радова на простору Србије.” 2018. Thesis, Univerzitet u Beogradu. Accessed December 05, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:18615/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Atanacković, Nebojša B., 1983-. “Процена ризика од загађивања водних ресурса под утицајем напуштених рударских радова на простору Србије.” 2018. Web. 05 Dec 2020.

Vancouver:

Atanacković, Nebojša B. 1. Процена ризика од загађивања водних ресурса под утицајем напуштених рударских радова на простору Србије. [Internet] [Thesis]. Univerzitet u Beogradu; 2018. [cited 2020 Dec 05]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:18615/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Atanacković, Nebojša B. 1. Процена ризика од загађивања водних ресурса под утицајем напуштених рударских радова на простору Србије. [Thesis]. Univerzitet u Beogradu; 2018. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:18615/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

[1] [2]

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