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You searched for subject:(Exploratory Data Analysis). Showing records 1 – 30 of 83 total matches.

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NSYSU

1. Chen, Yu-rong. Effectively Aggregating Big Data for Visualization.

Degree: Master, Information Management, 2016, NSYSU

 With the fast development of the internet technologies, data is easily generated and collected. Those data could be useful based on how the enterprise or… (more)

Subjects/Keywords: Data Discretization; Exploratory Data Analysis; Big data; Data Reduction; Data Visualization

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

APA (6th Edition):

Chen, Y. (2016). Effectively Aggregating Big Data for Visualization. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0411116-090441

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):

Chen, Yu-rong. “Effectively Aggregating Big Data for Visualization.” 2016. Thesis, NSYSU. Accessed January 23, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0411116-090441.

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

MLA Handbook (7th Edition):

Chen, Yu-rong. “Effectively Aggregating Big Data for Visualization.” 2016. Web. 23 Jan 2020.

Vancouver:

Chen Y. Effectively Aggregating Big Data for Visualization. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Jan 23]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0411116-090441.

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

Council of Science Editors:

Chen Y. Effectively Aggregating Big Data for Visualization. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0411116-090441

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


University of Utah

2. Kobayashi, Tetsuo. An interactive visualization tool for mobile objects.

Degree: PhD, Geography, 2010, University of Utah

 Recent advancements in mobile devices – such as Global Positioning System (GPS), cellular phones, car navigation system, and radio-frequency identification (RFID) – have greatly influenced… (more)

Subjects/Keywords: Exploratory data analysis; GIS; Mobile object; Visualization

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

APA (6th Edition):

Kobayashi, T. (2010). An interactive visualization tool for mobile objects. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/324/rec/221

Chicago Manual of Style (16th Edition):

Kobayashi, Tetsuo. “An interactive visualization tool for mobile objects.” 2010. Doctoral Dissertation, University of Utah. Accessed January 23, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/324/rec/221.

MLA Handbook (7th Edition):

Kobayashi, Tetsuo. “An interactive visualization tool for mobile objects.” 2010. Web. 23 Jan 2020.

Vancouver:

Kobayashi T. An interactive visualization tool for mobile objects. [Internet] [Doctoral dissertation]. University of Utah; 2010. [cited 2020 Jan 23]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/324/rec/221.

Council of Science Editors:

Kobayashi T. An interactive visualization tool for mobile objects. [Doctoral Dissertation]. University of Utah; 2010. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/324/rec/221


Penn State University

3. Gruver, Adrienne Brook. Epidemiological Exploratory Data Analysis Tasks in a Geovisualization Environment.

Degree: MS, Geography, 2009, Penn State University

 In recent years the process of visually interacting with data has become increasingly important as a method for understanding the rich amounts of data collected.… (more)

Subjects/Keywords: exploratory spatial data analysis; epidemiology; geovisualization; tasks

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APA (6th Edition):

Gruver, A. B. (2009). Epidemiological Exploratory Data Analysis Tasks in a Geovisualization Environment. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10058

Chicago Manual of Style (16th Edition):

Gruver, Adrienne Brook. “Epidemiological Exploratory Data Analysis Tasks in a Geovisualization Environment.” 2009. Masters Thesis, Penn State University. Accessed January 23, 2020. https://etda.libraries.psu.edu/catalog/10058.

MLA Handbook (7th Edition):

Gruver, Adrienne Brook. “Epidemiological Exploratory Data Analysis Tasks in a Geovisualization Environment.” 2009. Web. 23 Jan 2020.

Vancouver:

Gruver AB. Epidemiological Exploratory Data Analysis Tasks in a Geovisualization Environment. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2020 Jan 23]. Available from: https://etda.libraries.psu.edu/catalog/10058.

Council of Science Editors:

Gruver AB. Epidemiological Exploratory Data Analysis Tasks in a Geovisualization Environment. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/10058


Carnegie Mellon University

4. Rzeszotarski, Jeffrey M. Uncovering Nuances in Complex Data Through Focus and Context Visualizations.

Degree: 2017, Carnegie Mellon University

 Across a wide variety of digital devices, users create, consume, and disseminate large quantities of information. While data sometimes look like a spreadsheet or network… (more)

Subjects/Keywords: Human-Computer Interaction; Data Visualization; Big Data; Small Data; Medium Data; Exploratory Data Analysis

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APA (6th Edition):

Rzeszotarski, J. M. (2017). Uncovering Nuances in Complex Data Through Focus and Context Visualizations. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/958

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):

Rzeszotarski, Jeffrey M. “Uncovering Nuances in Complex Data Through Focus and Context Visualizations.” 2017. Thesis, Carnegie Mellon University. Accessed January 23, 2020. http://repository.cmu.edu/dissertations/958.

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

MLA Handbook (7th Edition):

Rzeszotarski, Jeffrey M. “Uncovering Nuances in Complex Data Through Focus and Context Visualizations.” 2017. Web. 23 Jan 2020.

Vancouver:

Rzeszotarski JM. Uncovering Nuances in Complex Data Through Focus and Context Visualizations. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Jan 23]. Available from: http://repository.cmu.edu/dissertations/958.

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

Council of Science Editors:

Rzeszotarski JM. Uncovering Nuances in Complex Data Through Focus and Context Visualizations. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/958

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

5. Peltonen, Jaakko. Data Exploration with Learning Metrics.

Degree: 2004, Helsinki University of Technology

A crucial problem in exploratory analysis of data is that it is difficult for computational methods to focus on interesting aspects of data. Traditional methods… (more)

Subjects/Keywords: clustering; data mining; exploratory data analysis; learning metrics; supervision; visualization

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APA (6th Edition):

Peltonen, J. (2004). Data Exploration with Learning Metrics. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2004/isbn9512273454/

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):

Peltonen, Jaakko. “Data Exploration with Learning Metrics.” 2004. Thesis, Helsinki University of Technology. Accessed January 23, 2020. http://lib.tkk.fi/Diss/2004/isbn9512273454/.

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

MLA Handbook (7th Edition):

Peltonen, Jaakko. “Data Exploration with Learning Metrics.” 2004. Web. 23 Jan 2020.

Vancouver:

Peltonen J. Data Exploration with Learning Metrics. [Internet] [Thesis]. Helsinki University of Technology; 2004. [cited 2020 Jan 23]. Available from: http://lib.tkk.fi/Diss/2004/isbn9512273454/.

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

Council of Science Editors:

Peltonen J. Data Exploration with Learning Metrics. [Thesis]. Helsinki University of Technology; 2004. Available from: http://lib.tkk.fi/Diss/2004/isbn9512273454/

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


University of Waterloo

6. Chen, Huanyi. Predicting Student Performance Using Data from an Auto-Grading System.

Degree: 2018, University of Waterloo

 As online auto-grading systems appear, information obtained from those systems can potentially enable the researchers to create predictive models to predict student behaviour and performances.… (more)

Subjects/Keywords: Decision Tree; Data Mining; Exploratory Data Analysis; Student Performance; Linear Regression

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APA (6th Edition):

Chen, H. (2018). Predicting Student Performance Using Data from an Auto-Grading System. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13435

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):

Chen, Huanyi. “Predicting Student Performance Using Data from an Auto-Grading System.” 2018. Thesis, University of Waterloo. Accessed January 23, 2020. http://hdl.handle.net/10012/13435.

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

MLA Handbook (7th Edition):

Chen, Huanyi. “Predicting Student Performance Using Data from an Auto-Grading System.” 2018. Web. 23 Jan 2020.

Vancouver:

Chen H. Predicting Student Performance Using Data from an Auto-Grading System. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/10012/13435.

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

Council of Science Editors:

Chen H. Predicting Student Performance Using Data from an Auto-Grading System. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13435

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


University of Washington

7. WONGSUPHASAWAT, KANIT. Augmenting Exploratory Data Analysis with Visualization Recommendation.

Degree: PhD, 2019, University of Washington

Exploratory data analysis is one of the key activities for understanding and discovering new insights from data. As exploratory data analysis can involve both open-ended… (more)

Subjects/Keywords: Chart Recommendation; Data Exploration; Data Visualization; Exploratory Data Analysis; Computer science; Computer science and engineering

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APA (6th Edition):

WONGSUPHASAWAT, K. (2019). Augmenting Exploratory Data Analysis with Visualization Recommendation. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/43345

Chicago Manual of Style (16th Edition):

WONGSUPHASAWAT, KANIT. “Augmenting Exploratory Data Analysis with Visualization Recommendation.” 2019. Doctoral Dissertation, University of Washington. Accessed January 23, 2020. http://hdl.handle.net/1773/43345.

MLA Handbook (7th Edition):

WONGSUPHASAWAT, KANIT. “Augmenting Exploratory Data Analysis with Visualization Recommendation.” 2019. Web. 23 Jan 2020.

Vancouver:

WONGSUPHASAWAT K. Augmenting Exploratory Data Analysis with Visualization Recommendation. [Internet] [Doctoral dissertation]. University of Washington; 2019. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1773/43345.

Council of Science Editors:

WONGSUPHASAWAT K. Augmenting Exploratory Data Analysis with Visualization Recommendation. [Doctoral Dissertation]. University of Washington; 2019. Available from: http://hdl.handle.net/1773/43345


University of Sydney

8. Chung, Youn Jin. The Self-Organising Map Network: An Interactive Visual Data Mining Framework for Exploratory Causal Analysis .

Degree: 2017, University of Sydney

 This thesis introduces a novel framework for analysing causality from complex data in diverse application domains, such as ecological and health areas. The framework, called… (more)

Subjects/Keywords: Self-Organising Map Network; Interactive Visual Data Mining; Exploratory Causal Analysis

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APA (6th Edition):

Chung, Y. J. (2017). The Self-Organising Map Network: An Interactive Visual Data Mining Framework for Exploratory Causal Analysis . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/18055

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):

Chung, Youn Jin. “The Self-Organising Map Network: An Interactive Visual Data Mining Framework for Exploratory Causal Analysis .” 2017. Thesis, University of Sydney. Accessed January 23, 2020. http://hdl.handle.net/2123/18055.

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

MLA Handbook (7th Edition):

Chung, Youn Jin. “The Self-Organising Map Network: An Interactive Visual Data Mining Framework for Exploratory Causal Analysis .” 2017. Web. 23 Jan 2020.

Vancouver:

Chung YJ. The Self-Organising Map Network: An Interactive Visual Data Mining Framework for Exploratory Causal Analysis . [Internet] [Thesis]. University of Sydney; 2017. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/2123/18055.

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

Council of Science Editors:

Chung YJ. The Self-Organising Map Network: An Interactive Visual Data Mining Framework for Exploratory Causal Analysis . [Thesis]. University of Sydney; 2017. Available from: http://hdl.handle.net/2123/18055

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


Louisiana State University

9. Kaur, Gurminder. Effective Visualization Approaches For Ultra-High Dimensional Datasets.

Degree: PhD, Databases and Information Systems, 2018, Louisiana State University

  Multivariate informational data, which are abstract as well as complex, are becoming increasingly common in many areas such as scientific, medical, social, business, and… (more)

Subjects/Keywords: Computer Visualization; Exploratory Analysis; Multivariate Data Visualization; Ultra-High Dimensional Datasets

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APA (6th Edition):

Kaur, G. (2018). Effective Visualization Approaches For Ultra-High Dimensional Datasets. (Doctoral Dissertation). Louisiana State University. Retrieved from https://digitalcommons.lsu.edu/gradschool_dissertations/4750

Chicago Manual of Style (16th Edition):

Kaur, Gurminder. “Effective Visualization Approaches For Ultra-High Dimensional Datasets.” 2018. Doctoral Dissertation, Louisiana State University. Accessed January 23, 2020. https://digitalcommons.lsu.edu/gradschool_dissertations/4750.

MLA Handbook (7th Edition):

Kaur, Gurminder. “Effective Visualization Approaches For Ultra-High Dimensional Datasets.” 2018. Web. 23 Jan 2020.

Vancouver:

Kaur G. Effective Visualization Approaches For Ultra-High Dimensional Datasets. [Internet] [Doctoral dissertation]. Louisiana State University; 2018. [cited 2020 Jan 23]. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4750.

Council of Science Editors:

Kaur G. Effective Visualization Approaches For Ultra-High Dimensional Datasets. [Doctoral Dissertation]. Louisiana State University; 2018. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4750

10. Kerracher, Natalie. Tasks and visual techniques for the exploration of temporal graph data.

Degree: PhD, 2017, Edinburgh Napier University

 This thesis considers the tasks involved in exploratory analysis of temporal graph data, and the visual techniques which are able to support these tasks. There… (more)

Subjects/Keywords: 006.6; EDA; exploratory data analysis; datasets; visualisation; taxonomies; task classification

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APA (6th Edition):

Kerracher, N. (2017). Tasks and visual techniques for the exploration of temporal graph data. (Doctoral Dissertation). Edinburgh Napier University. Retrieved from http://researchrepository.napier.ac.uk/Output/977758 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.721357

Chicago Manual of Style (16th Edition):

Kerracher, Natalie. “Tasks and visual techniques for the exploration of temporal graph data.” 2017. Doctoral Dissertation, Edinburgh Napier University. Accessed January 23, 2020. http://researchrepository.napier.ac.uk/Output/977758 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.721357.

MLA Handbook (7th Edition):

Kerracher, Natalie. “Tasks and visual techniques for the exploration of temporal graph data.” 2017. Web. 23 Jan 2020.

Vancouver:

Kerracher N. Tasks and visual techniques for the exploration of temporal graph data. [Internet] [Doctoral dissertation]. Edinburgh Napier University; 2017. [cited 2020 Jan 23]. Available from: http://researchrepository.napier.ac.uk/Output/977758 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.721357.

Council of Science Editors:

Kerracher N. Tasks and visual techniques for the exploration of temporal graph data. [Doctoral Dissertation]. Edinburgh Napier University; 2017. Available from: http://researchrepository.napier.ac.uk/Output/977758 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.721357


Princeton University

11. Chaney, Allison June Barlow. Computational Methods for Exploring Human Behavior .

Degree: PhD, 2016, Princeton University

 Researchers and analysts from many diverse fields are interested in unstructured observations of human behavior; this variety of data is constantly increasing in quantity. In… (more)

Subjects/Keywords: Exploratory Data Analysis; Latent Variable Models; Machine Learning

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APA (6th Edition):

Chaney, A. J. B. (2016). Computational Methods for Exploring Human Behavior . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp012r36v101m

Chicago Manual of Style (16th Edition):

Chaney, Allison June Barlow. “Computational Methods for Exploring Human Behavior .” 2016. Doctoral Dissertation, Princeton University. Accessed January 23, 2020. http://arks.princeton.edu/ark:/88435/dsp012r36v101m.

MLA Handbook (7th Edition):

Chaney, Allison June Barlow. “Computational Methods for Exploring Human Behavior .” 2016. Web. 23 Jan 2020.

Vancouver:

Chaney AJB. Computational Methods for Exploring Human Behavior . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2020 Jan 23]. Available from: http://arks.princeton.edu/ark:/88435/dsp012r36v101m.

Council of Science Editors:

Chaney AJB. Computational Methods for Exploring Human Behavior . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp012r36v101m


University of Washington

12. Tan, Kean Ming. Graph Estimation and Cluster Analysis in High Dimensions.

Degree: PhD, 2015, University of Washington

 In many applications, it is of interest to uncover patterns from a high-dimensional data set in which the number of features, p, is larger than… (more)

Subjects/Keywords: Exploratory Analysis; Graphical Models; High Dimensional Data; Machine Learning; Biostatistics; biostatistics

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APA (6th Edition):

Tan, K. M. (2015). Graph Estimation and Cluster Analysis in High Dimensions. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/33616

Chicago Manual of Style (16th Edition):

Tan, Kean Ming. “Graph Estimation and Cluster Analysis in High Dimensions.” 2015. Doctoral Dissertation, University of Washington. Accessed January 23, 2020. http://hdl.handle.net/1773/33616.

MLA Handbook (7th Edition):

Tan, Kean Ming. “Graph Estimation and Cluster Analysis in High Dimensions.” 2015. Web. 23 Jan 2020.

Vancouver:

Tan KM. Graph Estimation and Cluster Analysis in High Dimensions. [Internet] [Doctoral dissertation]. University of Washington; 2015. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1773/33616.

Council of Science Editors:

Tan KM. Graph Estimation and Cluster Analysis in High Dimensions. [Doctoral Dissertation]. University of Washington; 2015. Available from: http://hdl.handle.net/1773/33616


The Ohio State University

13. Sanders, Margaret. Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods.

Degree: MA, EDU Policy and Leadership, 2014, The Ohio State University

 In education research, ordinal data is the norm but does not meet the assumptions of most statistical methods and thus is often analyzed inappropriately. Using… (more)

Subjects/Keywords: Educational Tests and Measurements; Psychological Tests; exploratory factor analysis; confirmatory factor analysis; ordinal data analysis

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APA (6th Edition):

Sanders, M. (2014). Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods. (Masters Thesis). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1388745127

Chicago Manual of Style (16th Edition):

Sanders, Margaret. “Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods.” 2014. Masters Thesis, The Ohio State University. Accessed January 23, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1388745127.

MLA Handbook (7th Edition):

Sanders, Margaret. “Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods.” 2014. Web. 23 Jan 2020.

Vancouver:

Sanders M. Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods. [Internet] [Masters thesis]. The Ohio State University; 2014. [cited 2020 Jan 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388745127.

Council of Science Editors:

Sanders M. Multifactor Models of Ordinal Data: Comparing Four Factor Analytical Methods. [Masters Thesis]. The Ohio State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1388745127


Arizona State University

14. Wolf, Levi John. Spatializing Partisan Gerrymandering Forensics: Local Measures and Spatial Specifications.

Degree: Geography, 2017, Arizona State University

 Gerrymandering is a central problem for many representative democracies. Formally, gerrymandering is the manipulation of spatial boundaries to provide political advantage to a particular group… (more)

Subjects/Keywords: Geography; Political science; Statistics; Elections; Exploratory Spatial Data Analysis; Gerrymandering; Jackknife; Spatial Analysis; Spatial Econometrics

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APA (6th Edition):

Wolf, L. J. (2017). Spatializing Partisan Gerrymandering Forensics: Local Measures and Spatial Specifications. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/46201

Chicago Manual of Style (16th Edition):

Wolf, Levi John. “Spatializing Partisan Gerrymandering Forensics: Local Measures and Spatial Specifications.” 2017. Doctoral Dissertation, Arizona State University. Accessed January 23, 2020. http://repository.asu.edu/items/46201.

MLA Handbook (7th Edition):

Wolf, Levi John. “Spatializing Partisan Gerrymandering Forensics: Local Measures and Spatial Specifications.” 2017. Web. 23 Jan 2020.

Vancouver:

Wolf LJ. Spatializing Partisan Gerrymandering Forensics: Local Measures and Spatial Specifications. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2020 Jan 23]. Available from: http://repository.asu.edu/items/46201.

Council of Science Editors:

Wolf LJ. Spatializing Partisan Gerrymandering Forensics: Local Measures and Spatial Specifications. [Doctoral Dissertation]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/46201

15. Omidvar Tehrani, Behrooz. Optimization-based User Group Management : Discovery, Analysis, Recommendation : Optimization-based User Group Management : Discovery, Analysis, Recommendation.

Degree: Docteur es, Informatique, 2015, Grenoble Alpes

Les donn ́ees utilisateurs sont devenue de plus en plus disponibles dans plusieurs do- maines tels que les traces d'usage des smartphones et le Web… (more)

Subjects/Keywords: Fouille de données; Analyse des données; Recommandation; Analyse interactive; Data mining; Data Analysis; Exploratory Analysis; Interactive Analysis; Recommendation; 621

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APA (6th Edition):

Omidvar Tehrani, B. (2015). Optimization-based User Group Management : Discovery, Analysis, Recommendation : Optimization-based User Group Management : Discovery, Analysis, Recommendation. (Doctoral Dissertation). Grenoble Alpes. Retrieved from http://www.theses.fr/2015GREAM038

Chicago Manual of Style (16th Edition):

Omidvar Tehrani, Behrooz. “Optimization-based User Group Management : Discovery, Analysis, Recommendation : Optimization-based User Group Management : Discovery, Analysis, Recommendation.” 2015. Doctoral Dissertation, Grenoble Alpes. Accessed January 23, 2020. http://www.theses.fr/2015GREAM038.

MLA Handbook (7th Edition):

Omidvar Tehrani, Behrooz. “Optimization-based User Group Management : Discovery, Analysis, Recommendation : Optimization-based User Group Management : Discovery, Analysis, Recommendation.” 2015. Web. 23 Jan 2020.

Vancouver:

Omidvar Tehrani B. Optimization-based User Group Management : Discovery, Analysis, Recommendation : Optimization-based User Group Management : Discovery, Analysis, Recommendation. [Internet] [Doctoral dissertation]. Grenoble Alpes; 2015. [cited 2020 Jan 23]. Available from: http://www.theses.fr/2015GREAM038.

Council of Science Editors:

Omidvar Tehrani B. Optimization-based User Group Management : Discovery, Analysis, Recommendation : Optimization-based User Group Management : Discovery, Analysis, Recommendation. [Doctoral Dissertation]. Grenoble Alpes; 2015. Available from: http://www.theses.fr/2015GREAM038

16. Zorzi, Rodrigo Rocha. Planejamento, síntese e avaliação da atividade antimicrobiana de derivados furfurilidênicos frente a micro-organismos causadores de infecções hospitalares.

Degree: Mestrado, Tecnologia Químico-Farmacêutica, 2013, University of São Paulo

Infecções hospitalares, causadas por fungos e bactérias, são responsáveis por milhares de mortes anuais e disseminam-se cada vez mais rápido em ambiente hospitalar. Estas infecções… (more)

Subjects/Keywords: Análise exploratória de dados; Exploratory data analysis; Infecção hospitalar; Nitrocompostos; Nitrocompounds; Nosocomial Infections

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

APA (6th Edition):

Zorzi, R. R. (2013). Planejamento, síntese e avaliação da atividade antimicrobiana de derivados furfurilidênicos frente a micro-organismos causadores de infecções hospitalares. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/9/9135/tde-24022014-122239/ ;

Chicago Manual of Style (16th Edition):

Zorzi, Rodrigo Rocha. “Planejamento, síntese e avaliação da atividade antimicrobiana de derivados furfurilidênicos frente a micro-organismos causadores de infecções hospitalares.” 2013. Masters Thesis, University of São Paulo. Accessed January 23, 2020. http://www.teses.usp.br/teses/disponiveis/9/9135/tde-24022014-122239/ ;.

MLA Handbook (7th Edition):

Zorzi, Rodrigo Rocha. “Planejamento, síntese e avaliação da atividade antimicrobiana de derivados furfurilidênicos frente a micro-organismos causadores de infecções hospitalares.” 2013. Web. 23 Jan 2020.

Vancouver:

Zorzi RR. Planejamento, síntese e avaliação da atividade antimicrobiana de derivados furfurilidênicos frente a micro-organismos causadores de infecções hospitalares. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2020 Jan 23]. Available from: http://www.teses.usp.br/teses/disponiveis/9/9135/tde-24022014-122239/ ;.

Council of Science Editors:

Zorzi RR. Planejamento, síntese e avaliação da atividade antimicrobiana de derivados furfurilidênicos frente a micro-organismos causadores de infecções hospitalares. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/9/9135/tde-24022014-122239/ ;


Arizona State University

17. Lee, Der-Shiuan. Intermetropolitan Networks of Co-invention in American Biotechnology.

Degree: PhD, Geography, 2011, Arizona State University

 Regional differences of inventive activity and economic growth are important in economic geography. These differences are generally explained by the theory of localized knowledge spillovers,… (more)

Subjects/Keywords: Geography; Social structure; Biotechnology; Co-invention; Exploratory spatial data analysis; Intermetropolitan networks; Knowledge exchange; Patents

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

APA (6th Edition):

Lee, D. (2011). Intermetropolitan Networks of Co-invention in American Biotechnology. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/14248

Chicago Manual of Style (16th Edition):

Lee, Der-Shiuan. “Intermetropolitan Networks of Co-invention in American Biotechnology.” 2011. Doctoral Dissertation, Arizona State University. Accessed January 23, 2020. http://repository.asu.edu/items/14248.

MLA Handbook (7th Edition):

Lee, Der-Shiuan. “Intermetropolitan Networks of Co-invention in American Biotechnology.” 2011. Web. 23 Jan 2020.

Vancouver:

Lee D. Intermetropolitan Networks of Co-invention in American Biotechnology. [Internet] [Doctoral dissertation]. Arizona State University; 2011. [cited 2020 Jan 23]. Available from: http://repository.asu.edu/items/14248.

Council of Science Editors:

Lee D. Intermetropolitan Networks of Co-invention in American Biotechnology. [Doctoral Dissertation]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/14248

18. Wagner, Florian. Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics .

Degree: 2017, Duke University

  Advances in technologies for gene expression profiling have resulted in an unprecedented abundance of gene expression data. However, computational methods available for the exploratory(more)

Subjects/Keywords: Biology; Computer science; Bioinformatics; algorithms; cancer genomics; exploratory data analysis; gene expression; nonparametric statistics; transcriptomics

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APA (6th Edition):

Wagner, F. (2017). Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics . (Thesis). Duke University. Retrieved from http://hdl.handle.net/10161/14375

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):

Wagner, Florian. “Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics .” 2017. Thesis, Duke University. Accessed January 23, 2020. http://hdl.handle.net/10161/14375.

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

MLA Handbook (7th Edition):

Wagner, Florian. “Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics .” 2017. Web. 23 Jan 2020.

Vancouver:

Wagner F. Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics . [Internet] [Thesis]. Duke University; 2017. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/10161/14375.

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

Council of Science Editors:

Wagner F. Methods for Systematic Exploratory Analysis of Gene Expression Data with Applications to Cancer Genomics . [Thesis]. Duke University; 2017. Available from: http://hdl.handle.net/10161/14375

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


University of Louisville

19. Acun Sener, Asuman Cagla. A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom.

Degree: MS, 2017, University of Louisville

  This thesis presents an applied data science methodology on a set of University of Louisville, Speed School of Engineering student data. We used data(more)

Subjects/Keywords: data science; data science pipeline; visualization; exploratory factor analysis; educational data mining; Computer Engineering; Computer Sciences

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

APA (6th Edition):

Acun Sener, A. C. (2017). A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom. (Masters Thesis). University of Louisville. Retrieved from 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758

Chicago Manual of Style (16th Edition):

Acun Sener, Asuman Cagla. “A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom.” 2017. Masters Thesis, University of Louisville. Accessed January 23, 2020. 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758.

MLA Handbook (7th Edition):

Acun Sener, Asuman Cagla. “A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom.” 2017. Web. 23 Jan 2020.

Vancouver:

Acun Sener AC. A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom. [Internet] [Masters thesis]. University of Louisville; 2017. [cited 2020 Jan 23]. Available from: 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758.

Council of Science Editors:

Acun Sener AC. A data science pipeline for educational data : a case study using learning catalytics in the active learning classroom. [Masters Thesis]. University of Louisville; 2017. Available from: 10.18297/etd/2758 ; https://ir.library.louisville.edu/etd/2758


Universidade do Rio Grande do Sul

20. Oliveira, Guilherme do Nascimento. Ordered stacks of time series for exploratory analysis of large spatio-temporal datasets.

Degree: 2015, Universidade do Rio Grande do Sul

The size of datasets became the major problem in data analysis today. As urban sensing becomes popular, datasets of spatial and temporal nature become ubiquitous,… (more)

Subjects/Keywords: Time series; Banco de dados; Bike sharing; Banco : Dados temporais; Running; Spatio-temporal data; Urban data; Visualization; Exploratory data analysis

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

APA (6th Edition):

Oliveira, G. d. N. (2015). Ordered stacks of time series for exploratory analysis of large spatio-temporal datasets. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/130557

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):

Oliveira, Guilherme do Nascimento. “Ordered stacks of time series for exploratory analysis of large spatio-temporal datasets.” 2015. Thesis, Universidade do Rio Grande do Sul. Accessed January 23, 2020. http://hdl.handle.net/10183/130557.

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

MLA Handbook (7th Edition):

Oliveira, Guilherme do Nascimento. “Ordered stacks of time series for exploratory analysis of large spatio-temporal datasets.” 2015. Web. 23 Jan 2020.

Vancouver:

Oliveira GdN. Ordered stacks of time series for exploratory analysis of large spatio-temporal datasets. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2015. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/10183/130557.

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

Council of Science Editors:

Oliveira GdN. Ordered stacks of time series for exploratory analysis of large spatio-temporal datasets. [Thesis]. Universidade do Rio Grande do Sul; 2015. Available from: http://hdl.handle.net/10183/130557

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


Leiden University

21. Uosukainen, Daniel. Interzonal Interaction in Pre-Conquest North Central Nicaragua.

Degree: 2018, Leiden University

 North Central Nicaragua has long been on the fringes of the researched world and this region is still largely underrepresented in discourses on Central American… (more)

Subjects/Keywords: Nicaragua; North Central Nicaragua; Survey data; Environmental zones; Exchange; Interzonal interaction; Visual exploratory data analysis; Non-systematic data

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

APA (6th Edition):

Uosukainen, D. (2018). Interzonal Interaction in Pre-Conquest North Central Nicaragua. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/66992

Chicago Manual of Style (16th Edition):

Uosukainen, Daniel. “Interzonal Interaction in Pre-Conquest North Central Nicaragua.” 2018. Masters Thesis, Leiden University. Accessed January 23, 2020. http://hdl.handle.net/1887/66992.

MLA Handbook (7th Edition):

Uosukainen, Daniel. “Interzonal Interaction in Pre-Conquest North Central Nicaragua.” 2018. Web. 23 Jan 2020.

Vancouver:

Uosukainen D. Interzonal Interaction in Pre-Conquest North Central Nicaragua. [Internet] [Masters thesis]. Leiden University; 2018. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1887/66992.

Council of Science Editors:

Uosukainen D. Interzonal Interaction in Pre-Conquest North Central Nicaragua. [Masters Thesis]. Leiden University; 2018. Available from: http://hdl.handle.net/1887/66992


University of Victoria

22. Sarvghad Batn Moghaddam, Ali. Tracking and visualizing dimension space coverage for exploratory data analysis.

Degree: Department of Computer Science, 2016, University of Victoria

 In this dissertation, I investigate interactive visual history for collaborative exploratory data analysis (EDA). In particular, I examine use of analysis history for improving the… (more)

Subjects/Keywords: Exploratory Data Analysis; Analysis History; Dimension Space Coverage; Visulization; Tabular Data; Empirical laboratory study; Scented widgets; Collaboration; Large Interactive Surfaces

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

APA (6th Edition):

Sarvghad Batn Moghaddam, A. (2016). Tracking and visualizing dimension space coverage for exploratory data analysis. (Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/7442

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):

Sarvghad Batn Moghaddam, Ali. “Tracking and visualizing dimension space coverage for exploratory data analysis.” 2016. Thesis, University of Victoria. Accessed January 23, 2020. http://hdl.handle.net/1828/7442.

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

MLA Handbook (7th Edition):

Sarvghad Batn Moghaddam, Ali. “Tracking and visualizing dimension space coverage for exploratory data analysis.” 2016. Web. 23 Jan 2020.

Vancouver:

Sarvghad Batn Moghaddam A. Tracking and visualizing dimension space coverage for exploratory data analysis. [Internet] [Thesis]. University of Victoria; 2016. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1828/7442.

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

Council of Science Editors:

Sarvghad Batn Moghaddam A. Tracking and visualizing dimension space coverage for exploratory data analysis. [Thesis]. University of Victoria; 2016. Available from: http://hdl.handle.net/1828/7442

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


University of South Africa

23. Barth, Kirstin. An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach .

Degree: 2018, University of South Africa

 This research determines whether data quality mining can be used to describe, monitor and evaluate the scope and impact of semantic data quality problems in… (more)

Subjects/Keywords: Data warehouse; Data mining; Data quality mining; Exploratory data mining; Cluster analysis; Association rule; Knowledge discovery in databases; National Learners’ Records Database; Learner enrolment data; Semantic data quality deficiencies

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

APA (6th Edition):

Barth, K. (2018). An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach . (Masters Thesis). University of South Africa. Retrieved from http://hdl.handle.net/10500/25576

Chicago Manual of Style (16th Edition):

Barth, Kirstin. “An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach .” 2018. Masters Thesis, University of South Africa. Accessed January 23, 2020. http://hdl.handle.net/10500/25576.

MLA Handbook (7th Edition):

Barth, Kirstin. “An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach .” 2018. Web. 23 Jan 2020.

Vancouver:

Barth K. An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach . [Internet] [Masters thesis]. University of South Africa; 2018. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/10500/25576.

Council of Science Editors:

Barth K. An analysis of semantic data quality defiencies in a national data warehouse: a data mining approach . [Masters Thesis]. University of South Africa; 2018. Available from: http://hdl.handle.net/10500/25576


Universidade Nova

24. Gorricha, Jorge Manuel Lourenço. Exploratory data analysis using self-organising maps defined in up to three dimensions.

Degree: 2015, Universidade Nova

 The SOM is an artificial neural network based on an unsupervised learning process that performs a nonlinear mapping of high dimensional input data onto an… (more)

Subjects/Keywords: Self-Organising Map; Clusters analysis; Geo-referenced data; Spatial data; 3D SOM; 1D SOM; Visualization; Exploratory data Analysis; Three-way data; Clustering

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

APA (6th Edition):

Gorricha, J. M. L. (2015). Exploratory data analysis using self-organising maps defined in up to three dimensions. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17852

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):

Gorricha, Jorge Manuel Lourenço. “Exploratory data analysis using self-organising maps defined in up to three dimensions.” 2015. Thesis, Universidade Nova. Accessed January 23, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17852.

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

MLA Handbook (7th Edition):

Gorricha, Jorge Manuel Lourenço. “Exploratory data analysis using self-organising maps defined in up to three dimensions.” 2015. Web. 23 Jan 2020.

Vancouver:

Gorricha JML. Exploratory data analysis using self-organising maps defined in up to three dimensions. [Internet] [Thesis]. Universidade Nova; 2015. [cited 2020 Jan 23]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17852.

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

Council of Science Editors:

Gorricha JML. Exploratory data analysis using self-organising maps defined in up to three dimensions. [Thesis]. Universidade Nova; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/17852

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


University of Oxford

25. Kelly, Laura. Measuring the impact of using health-related websites : the eHealth impact questionnaire.

Degree: PhD, 2015, University of Oxford

 <b>Introduction:</b> Health-related websites have developed to be much more than information sites: they are used to exchange experiences and find support as well as information… (more)

Subjects/Keywords: 362.1; Public Health; Internet research; e-health; cognitive interviews; patients' experiences; secondary data analysis; exploratory factor analysis; psychometric

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

APA (6th Edition):

Kelly, L. (2015). Measuring the impact of using health-related websites : the eHealth impact questionnaire. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:ef7eefdd-d9c6-4d9e-95a6-8452564913de ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664819

Chicago Manual of Style (16th Edition):

Kelly, Laura. “Measuring the impact of using health-related websites : the eHealth impact questionnaire.” 2015. Doctoral Dissertation, University of Oxford. Accessed January 23, 2020. http://ora.ox.ac.uk/objects/uuid:ef7eefdd-d9c6-4d9e-95a6-8452564913de ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664819.

MLA Handbook (7th Edition):

Kelly, Laura. “Measuring the impact of using health-related websites : the eHealth impact questionnaire.” 2015. Web. 23 Jan 2020.

Vancouver:

Kelly L. Measuring the impact of using health-related websites : the eHealth impact questionnaire. [Internet] [Doctoral dissertation]. University of Oxford; 2015. [cited 2020 Jan 23]. Available from: http://ora.ox.ac.uk/objects/uuid:ef7eefdd-d9c6-4d9e-95a6-8452564913de ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664819.

Council of Science Editors:

Kelly L. Measuring the impact of using health-related websites : the eHealth impact questionnaire. [Doctoral Dissertation]. University of Oxford; 2015. Available from: http://ora.ox.ac.uk/objects/uuid:ef7eefdd-d9c6-4d9e-95a6-8452564913de ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.664819


University of Sydney

26. Jones, Lauren Margaret. Data Analysis Techniques Using National Hospital Datasets To Estimate Incidence Of Traumatic Spinal Cord Injury .

Degree: 2014, University of Sydney

 Objective: To develop an analysis technique using national hospital discharge data to estimate incidence rates of people hospitalised following acute traumatic spinal cord injury (TSCI).… (more)

Subjects/Keywords: exploratory data analysis; incidence traumatic spinal cord injury; national hospital datasets; data accessibility; data standards; ICD clinical classifications; decision criteria; comparative analysis

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APA (6th Edition):

Jones, L. M. (2014). Data Analysis Techniques Using National Hospital Datasets To Estimate Incidence Of Traumatic Spinal Cord Injury . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/14012

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):

Jones, Lauren Margaret. “Data Analysis Techniques Using National Hospital Datasets To Estimate Incidence Of Traumatic Spinal Cord Injury .” 2014. Thesis, University of Sydney. Accessed January 23, 2020. http://hdl.handle.net/2123/14012.

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

MLA Handbook (7th Edition):

Jones, Lauren Margaret. “Data Analysis Techniques Using National Hospital Datasets To Estimate Incidence Of Traumatic Spinal Cord Injury .” 2014. Web. 23 Jan 2020.

Vancouver:

Jones LM. Data Analysis Techniques Using National Hospital Datasets To Estimate Incidence Of Traumatic Spinal Cord Injury . [Internet] [Thesis]. University of Sydney; 2014. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/2123/14012.

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

Council of Science Editors:

Jones LM. Data Analysis Techniques Using National Hospital Datasets To Estimate Incidence Of Traumatic Spinal Cord Injury . [Thesis]. University of Sydney; 2014. Available from: http://hdl.handle.net/2123/14012

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

27. Särelä, Jaakko. Exploratory Source Separation in Biomedical Systems.

Degree: 2004, Helsinki University of Technology

Contemporary science produces vast amounts of data. The analysis of this data is in a central role for all empirical sciences as well as humanities… (more)

Subjects/Keywords: exploratory source separation; independent component analysis; blind source separation; denoising; denoising source separation; biomedical systems; biomedical data; magnetoencephalograms; electroencephalograms

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APA (6th Edition):

Särelä, J. (2004). Exploratory Source Separation in Biomedical Systems. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2004/isbn9512273438/

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):

Särelä, Jaakko. “Exploratory Source Separation in Biomedical Systems.” 2004. Thesis, Helsinki University of Technology. Accessed January 23, 2020. http://lib.tkk.fi/Diss/2004/isbn9512273438/.

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

MLA Handbook (7th Edition):

Särelä, Jaakko. “Exploratory Source Separation in Biomedical Systems.” 2004. Web. 23 Jan 2020.

Vancouver:

Särelä J. Exploratory Source Separation in Biomedical Systems. [Internet] [Thesis]. Helsinki University of Technology; 2004. [cited 2020 Jan 23]. Available from: http://lib.tkk.fi/Diss/2004/isbn9512273438/.

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

Council of Science Editors:

Särelä J. Exploratory Source Separation in Biomedical Systems. [Thesis]. Helsinki University of Technology; 2004. Available from: http://lib.tkk.fi/Diss/2004/isbn9512273438/

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


University of Edinburgh

28. Bates, Ellie. Mapping mayhem in the city?.

Degree: 2008, University of Edinburgh

 Mapping mayhem in the city? Exploring the space time dynamics of criminal damage and alcohol with Geovisualisation and ESDA. This research examines if the combination… (more)

Subjects/Keywords: vandalism; exploratory spatial data analysis; geovisualisation; alcohol; spatial and temporal scale; crime pattern theory; temporal constraint theory

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APA (6th Edition):

Bates, E. (2008). Mapping mayhem in the city?. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/2479

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, Ellie. “Mapping mayhem in the city?.” 2008. Thesis, University of Edinburgh. Accessed January 23, 2020. http://hdl.handle.net/1842/2479.

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

MLA Handbook (7th Edition):

Bates, Ellie. “Mapping mayhem in the city?.” 2008. Web. 23 Jan 2020.

Vancouver:

Bates E. Mapping mayhem in the city?. [Internet] [Thesis]. University of Edinburgh; 2008. [cited 2020 Jan 23]. Available from: http://hdl.handle.net/1842/2479.

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

Council of Science Editors:

Bates E. Mapping mayhem in the city?. [Thesis]. University of Edinburgh; 2008. Available from: http://hdl.handle.net/1842/2479

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


University of Pennsylvania

29. Goldstein, Alex Lauf. Topics in Tree-Based Methods.

Degree: 2014, University of Pennsylvania

 This work introduces methods and associated software for enhancing the interpretability of fitted models, with emphasis on classification and regression trees. We begin in Chapter… (more)

Subjects/Keywords: Classification and Regression Trees; Decision Trees; Exploratory Data Analysis; Machine Learning; Model Visualization; Statistics and Probability

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

APA (6th Edition):

Goldstein, A. L. (2014). Topics in Tree-Based Methods. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/1288

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):

Goldstein, Alex Lauf. “Topics in Tree-Based Methods.” 2014. Thesis, University of Pennsylvania. Accessed January 23, 2020. https://repository.upenn.edu/edissertations/1288.

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

MLA Handbook (7th Edition):

Goldstein, Alex Lauf. “Topics in Tree-Based Methods.” 2014. Web. 23 Jan 2020.

Vancouver:

Goldstein AL. Topics in Tree-Based Methods. [Internet] [Thesis]. University of Pennsylvania; 2014. [cited 2020 Jan 23]. Available from: https://repository.upenn.edu/edissertations/1288.

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

Council of Science Editors:

Goldstein AL. Topics in Tree-Based Methods. [Thesis]. University of Pennsylvania; 2014. Available from: https://repository.upenn.edu/edissertations/1288

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

30. Luo, Yu. Exploratory analysis of spatial and temporal movement patterns of black capuchin monkeys in Brazil Atlantic Forest.

Degree: MS, Geography, 2012, University of Georgia

 Primatologists often meet the challenge of how to interpret the complex high resolution GPS-collected movement points, which include space, time and attribute aspects. Using the… (more)

Subjects/Keywords: Exploratory data analysis; space-time trajectories

…developed to facilitate the exploratory data analysis of the attributes dynamics) along the… …33 Exploratory Data Visualization . . . . . . . . . . . . . . . . . . . . . . . . . 35… …Exploratory Data Visualization . . . . . . . . . . . . . . . . . . . . . . . . . 52 4.2.1 Space… …general work flow chart of this paper, including data, path quantification, exploratory data… …used in space-time movement studies, most of which are about the exploratory analysis of… 

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

APA (6th Edition):

Luo, Y. (2012). Exploratory analysis of spatial and temporal movement patterns of black capuchin monkeys in Brazil Atlantic Forest. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/luo_yu_201208_ms

Chicago Manual of Style (16th Edition):

Luo, Yu. “Exploratory analysis of spatial and temporal movement patterns of black capuchin monkeys in Brazil Atlantic Forest.” 2012. Masters Thesis, University of Georgia. Accessed January 23, 2020. http://purl.galileo.usg.edu/uga_etd/luo_yu_201208_ms.

MLA Handbook (7th Edition):

Luo, Yu. “Exploratory analysis of spatial and temporal movement patterns of black capuchin monkeys in Brazil Atlantic Forest.” 2012. Web. 23 Jan 2020.

Vancouver:

Luo Y. Exploratory analysis of spatial and temporal movement patterns of black capuchin monkeys in Brazil Atlantic Forest. [Internet] [Masters thesis]. University of Georgia; 2012. [cited 2020 Jan 23]. Available from: http://purl.galileo.usg.edu/uga_etd/luo_yu_201208_ms.

Council of Science Editors:

Luo Y. Exploratory analysis of spatial and temporal movement patterns of black capuchin monkeys in Brazil Atlantic Forest. [Masters Thesis]. University of Georgia; 2012. Available from: http://purl.galileo.usg.edu/uga_etd/luo_yu_201208_ms

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