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You searched for subject:(Data analysis). Showing records 1 – 30 of 4802 total matches.

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University of Georgia

1. Huang, Yining. Data analysis of the pattern information of the collective decision-making process in subterranean termites species.

Degree: MS, Statistics, 2016, University of Georgia

Data were collected by a bioassay design to study the collective decision-making process of food searching for a subterranean termite species. The movements of termites… (more)

Subjects/Keywords: Data Analysis

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APA (6th Edition):

Huang, Y. (2016). Data analysis of the pattern information of the collective decision-making process in subterranean termites species. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/huang_yining_201608_ms

Chicago Manual of Style (16th Edition):

Huang, Yining. “Data analysis of the pattern information of the collective decision-making process in subterranean termites species.” 2016. Masters Thesis, University of Georgia. Accessed July 18, 2019. http://purl.galileo.usg.edu/uga_etd/huang_yining_201608_ms.

MLA Handbook (7th Edition):

Huang, Yining. “Data analysis of the pattern information of the collective decision-making process in subterranean termites species.” 2016. Web. 18 Jul 2019.

Vancouver:

Huang Y. Data analysis of the pattern information of the collective decision-making process in subterranean termites species. [Internet] [Masters thesis]. University of Georgia; 2016. [cited 2019 Jul 18]. Available from: http://purl.galileo.usg.edu/uga_etd/huang_yining_201608_ms.

Council of Science Editors:

Huang Y. Data analysis of the pattern information of the collective decision-making process in subterranean termites species. [Masters Thesis]. University of Georgia; 2016. Available from: http://purl.galileo.usg.edu/uga_etd/huang_yining_201608_ms

2. Dhungana, Prakash. Application for quick reduction of GPS data for urban mobility analysis.

Degree: 2014, Escola Superior Tecnologia e Gestão de Oliveira do Hospital

The potential requirement of using data reduction application as an assistive tool for the student and researchers has been designed, developed and deployed. For that,… (more)

Subjects/Keywords: Data analysis; Data reduction

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APA (6th Edition):

Dhungana, P. (2014). Application for quick reduction of GPS data for urban mobility analysis. (Thesis). Escola Superior Tecnologia e Gestão de Oliveira do Hospital. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/17521

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):

Dhungana, Prakash. “Application for quick reduction of GPS data for urban mobility analysis.” 2014. Thesis, Escola Superior Tecnologia e Gestão de Oliveira do Hospital. Accessed July 18, 2019. https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/17521.

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

MLA Handbook (7th Edition):

Dhungana, Prakash. “Application for quick reduction of GPS data for urban mobility analysis.” 2014. Web. 18 Jul 2019.

Vancouver:

Dhungana P. Application for quick reduction of GPS data for urban mobility analysis. [Internet] [Thesis]. Escola Superior Tecnologia e Gestão de Oliveira do Hospital; 2014. [cited 2019 Jul 18]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/17521.

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

Council of Science Editors:

Dhungana P. Application for quick reduction of GPS data for urban mobility analysis. [Thesis]. Escola Superior Tecnologia e Gestão de Oliveira do Hospital; 2014. Available from: https://www.rcaap.pt/detail.jsp?id=oai:comum.rcaap.pt:10400.26/17521

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


Deakin University

3. Nguyen, Vu. Bayesian nonparametric multilevel modelling and applications.

Degree: School of Information Technology, 2015, Deakin University

Our research aims at contributing to the multilevel modeling in data analytics. We address the task of multilevel clustering, multilevel regression, and classification. We provide state of the art solution for the critical problem. Advisors/Committee Members: Phung, Dinh, Venkatesh, Svetha.

Subjects/Keywords: data analysis; regression analysis; multilevel data

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APA (6th Edition):

Nguyen, V. (2015). Bayesian nonparametric multilevel modelling and applications. (Thesis). Deakin University. Retrieved from http://hdl.handle.net/10536/DRO/DU:30079715

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):

Nguyen, Vu. “Bayesian nonparametric multilevel modelling and applications.” 2015. Thesis, Deakin University. Accessed July 18, 2019. http://hdl.handle.net/10536/DRO/DU:30079715.

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

MLA Handbook (7th Edition):

Nguyen, Vu. “Bayesian nonparametric multilevel modelling and applications.” 2015. Web. 18 Jul 2019.

Vancouver:

Nguyen V. Bayesian nonparametric multilevel modelling and applications. [Internet] [Thesis]. Deakin University; 2015. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10536/DRO/DU:30079715.

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

Council of Science Editors:

Nguyen V. Bayesian nonparametric multilevel modelling and applications. [Thesis]. Deakin University; 2015. Available from: http://hdl.handle.net/10536/DRO/DU:30079715

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


Delft University of Technology

4. Bloemsma, M.R. Semi-automatic core characterisation based on geochemical logging data:.

Degree: 2010, Delft University of Technology

 Textural variations in sediment are considered to be one of the primary controls on the geochemical composition. This relation has been widely exploited for the… (more)

Subjects/Keywords: compositional data analysis; provenance analysis

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APA (6th Edition):

Bloemsma, M. R. (2010). Semi-automatic core characterisation based on geochemical logging data:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4acf424e-6bb5-4044-a7af-2baea8108baa

Chicago Manual of Style (16th Edition):

Bloemsma, M R. “Semi-automatic core characterisation based on geochemical logging data:.” 2010. Masters Thesis, Delft University of Technology. Accessed July 18, 2019. http://resolver.tudelft.nl/uuid:4acf424e-6bb5-4044-a7af-2baea8108baa.

MLA Handbook (7th Edition):

Bloemsma, M R. “Semi-automatic core characterisation based on geochemical logging data:.” 2010. Web. 18 Jul 2019.

Vancouver:

Bloemsma MR. Semi-automatic core characterisation based on geochemical logging data:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2019 Jul 18]. Available from: http://resolver.tudelft.nl/uuid:4acf424e-6bb5-4044-a7af-2baea8108baa.

Council of Science Editors:

Bloemsma MR. Semi-automatic core characterisation based on geochemical logging data:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:4acf424e-6bb5-4044-a7af-2baea8108baa


University of Ottawa

5. Nhogue Wabo, Blanche Nadege. Hedge Funds and Survival Analysis .

Degree: 2013, University of Ottawa

 Using data from Hedge Fund Research, Inc. (HFR), this study adapts and expands on existing methods in survival analysis in an attempt to investigate whether… (more)

Subjects/Keywords: Survival Analysis; HedgeFunds; Data analysis

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APA (6th Edition):

Nhogue Wabo, B. N. (2013). Hedge Funds and Survival Analysis . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/26257

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):

Nhogue Wabo, Blanche Nadege. “Hedge Funds and Survival Analysis .” 2013. Thesis, University of Ottawa. Accessed July 18, 2019. http://hdl.handle.net/10393/26257.

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

MLA Handbook (7th Edition):

Nhogue Wabo, Blanche Nadege. “Hedge Funds and Survival Analysis .” 2013. Web. 18 Jul 2019.

Vancouver:

Nhogue Wabo BN. Hedge Funds and Survival Analysis . [Internet] [Thesis]. University of Ottawa; 2013. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10393/26257.

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

Council of Science Editors:

Nhogue Wabo BN. Hedge Funds and Survival Analysis . [Thesis]. University of Ottawa; 2013. Available from: http://hdl.handle.net/10393/26257

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


University of Georgia

6. Le-Rademacher, Jennifer Giaothuy. Principal component analysis for interval-valued and histogram-valued data and likelihood functions and some maximum likelihood estimators for symbolic data.

Degree: PhD, Statistics, 2008, University of Georgia

 Unlike a classical random variable which takes a single value, a symbolic random variable takes multiple values. The values within a symbolic random variable form… (more)

Subjects/Keywords: Symbolic data analysis

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

APA (6th Edition):

Le-Rademacher, J. G. (2008). Principal component analysis for interval-valued and histogram-valued data and likelihood functions and some maximum likelihood estimators for symbolic data. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/le-rademacher_jennifer_g_200812_phd

Chicago Manual of Style (16th Edition):

Le-Rademacher, Jennifer Giaothuy. “Principal component analysis for interval-valued and histogram-valued data and likelihood functions and some maximum likelihood estimators for symbolic data.” 2008. Doctoral Dissertation, University of Georgia. Accessed July 18, 2019. http://purl.galileo.usg.edu/uga_etd/le-rademacher_jennifer_g_200812_phd.

MLA Handbook (7th Edition):

Le-Rademacher, Jennifer Giaothuy. “Principal component analysis for interval-valued and histogram-valued data and likelihood functions and some maximum likelihood estimators for symbolic data.” 2008. Web. 18 Jul 2019.

Vancouver:

Le-Rademacher JG. Principal component analysis for interval-valued and histogram-valued data and likelihood functions and some maximum likelihood estimators for symbolic data. [Internet] [Doctoral dissertation]. University of Georgia; 2008. [cited 2019 Jul 18]. Available from: http://purl.galileo.usg.edu/uga_etd/le-rademacher_jennifer_g_200812_phd.

Council of Science Editors:

Le-Rademacher JG. Principal component analysis for interval-valued and histogram-valued data and likelihood functions and some maximum likelihood estimators for symbolic data. [Doctoral Dissertation]. University of Georgia; 2008. Available from: http://purl.galileo.usg.edu/uga_etd/le-rademacher_jennifer_g_200812_phd


University of Georgia

7. Yanosky, Daniel J. Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis.

Degree: PhD, Educational Psychology, 2007, University of Georgia

 Modern mixed model methods for analyzing longitudinal data require researchers to select a covariance structure for the data to fully specify the model and obtain… (more)

Subjects/Keywords: Longitudinal data analysis

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

APA (6th Edition):

Yanosky, D. J. (2007). Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/yanosky_daniel_j_200705_phd

Chicago Manual of Style (16th Edition):

Yanosky, Daniel J. “Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis.” 2007. Doctoral Dissertation, University of Georgia. Accessed July 18, 2019. http://purl.galileo.usg.edu/uga_etd/yanosky_daniel_j_200705_phd.

MLA Handbook (7th Edition):

Yanosky, Daniel J. “Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis.” 2007. Web. 18 Jul 2019.

Vancouver:

Yanosky DJ. Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis. [Internet] [Doctoral dissertation]. University of Georgia; 2007. [cited 2019 Jul 18]. Available from: http://purl.galileo.usg.edu/uga_etd/yanosky_daniel_j_200705_phd.

Council of Science Editors:

Yanosky DJ. Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis. [Doctoral Dissertation]. University of Georgia; 2007. Available from: http://purl.galileo.usg.edu/uga_etd/yanosky_daniel_j_200705_phd


UCLA

8. Wu, Xiaoxu. An Informative and Predictive Analysis of the San Francisco Police Department Crime Data.

Degree: Statistics, 2016, UCLA

 It is the responsibility of the San Francisco Police Department to protect the local community from various crimes and to improve the local security environment.… (more)

Subjects/Keywords: Statistics; Data analysis

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APA (6th Edition):

Wu, X. (2016). An Informative and Predictive Analysis of the San Francisco Police Department Crime Data. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/9113p8tw

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):

Wu, Xiaoxu. “An Informative and Predictive Analysis of the San Francisco Police Department Crime Data.” 2016. Thesis, UCLA. Accessed July 18, 2019. http://www.escholarship.org/uc/item/9113p8tw.

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

MLA Handbook (7th Edition):

Wu, Xiaoxu. “An Informative and Predictive Analysis of the San Francisco Police Department Crime Data.” 2016. Web. 18 Jul 2019.

Vancouver:

Wu X. An Informative and Predictive Analysis of the San Francisco Police Department Crime Data. [Internet] [Thesis]. UCLA; 2016. [cited 2019 Jul 18]. Available from: http://www.escholarship.org/uc/item/9113p8tw.

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

Council of Science Editors:

Wu X. An Informative and Predictive Analysis of the San Francisco Police Department Crime Data. [Thesis]. UCLA; 2016. Available from: http://www.escholarship.org/uc/item/9113p8tw

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


NSYSU

9. 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 (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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Chen Y. Effectively Aggregating Big Data for Visualization. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Jul 18]. 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 Alberta

10. Luo, Dandan. Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data.

Degree: PhD, Department of Mathematical and Statistical Sciences, 2012, University of Alberta

 Longitudinal studies of repeated observations on subjects are commonly undertaken in medical and biological sciences. The responses on a given occasion may be either univariate… (more)

Subjects/Keywords: Longitudinal Data Analysis; Zero-inflated Data; Clustered Data Analysis

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APA (6th Edition):

Luo, D. (2012). Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/s4655h86x

Chicago Manual of Style (16th Edition):

Luo, Dandan. “Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data.” 2012. Doctoral Dissertation, University of Alberta. Accessed July 18, 2019. https://era.library.ualberta.ca/files/s4655h86x.

MLA Handbook (7th Edition):

Luo, Dandan. “Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data.” 2012. Web. 18 Jul 2019.

Vancouver:

Luo D. Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2019 Jul 18]. Available from: https://era.library.ualberta.ca/files/s4655h86x.

Council of Science Editors:

Luo D. Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data. [Doctoral Dissertation]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/s4655h86x


Tampere University

11. Syrjärinne, Paula. Urban Traffic Analysis with Bus Location Data .

Degree: 2016, Tampere University

 Tässä työssä esitellään Tampereen alueen julkisen liikenteen linja-autoista kerätyn datan käyttöä ja analysointia. Aineistoa on analysoitu useilla eri algoritmeilla ja monesta eri näkökulmasta. Osa analyyseista… (more)

Subjects/Keywords: data-analyysi; big data; älyliikenne; data analysis; big data; ITS

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APA (6th Edition):

Syrjärinne, P. (2016). Urban Traffic Analysis with Bus Location Data . (Doctoral Dissertation). Tampere University. Retrieved from http://tampub.uta.fi/handle/10024/98613

Chicago Manual of Style (16th Edition):

Syrjärinne, Paula. “Urban Traffic Analysis with Bus Location Data .” 2016. Doctoral Dissertation, Tampere University. Accessed July 18, 2019. http://tampub.uta.fi/handle/10024/98613.

MLA Handbook (7th Edition):

Syrjärinne, Paula. “Urban Traffic Analysis with Bus Location Data .” 2016. Web. 18 Jul 2019.

Vancouver:

Syrjärinne P. Urban Traffic Analysis with Bus Location Data . [Internet] [Doctoral dissertation]. Tampere University; 2016. [cited 2019 Jul 18]. Available from: http://tampub.uta.fi/handle/10024/98613.

Council of Science Editors:

Syrjärinne P. Urban Traffic Analysis with Bus Location Data . [Doctoral Dissertation]. Tampere University; 2016. Available from: http://tampub.uta.fi/handle/10024/98613


University of KwaZulu-Natal

12. Vela Vela, Junior. The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban.

Degree: 2017, University of KwaZulu-Natal

 The increase of number of data available in today’s world has prompted different industries to find a way to get the value out of the… (more)

Subjects/Keywords: Big data analysis.; Technology.; Big data.; Adoption.

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APA (6th Edition):

Vela Vela, J. (2017). The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/15171

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):

Vela Vela, Junior. “The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban.” 2017. Thesis, University of KwaZulu-Natal. Accessed July 18, 2019. http://hdl.handle.net/10413/15171.

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

MLA Handbook (7th Edition):

Vela Vela, Junior. “The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban.” 2017. Web. 18 Jul 2019.

Vancouver:

Vela Vela J. The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10413/15171.

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

Council of Science Editors:

Vela Vela J. The employees’ perception on the adoption of big data analytics by selected medical aid organisations in Durban. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/15171

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


University of Illinois – Chicago

13. Swanlund, Andrew Peter. Correcting for Rater Bias in the Presence of Non-Ignorable Missing Ratings.

Degree: 2016, University of Illinois – Chicago

 This thesis addresses the problem of non-ignorable missing ratings in judge rated data. A Bayesian bivariate probit ordinal missing data model implemented with Markov chain… (more)

Subjects/Keywords: Psychometrics; Judge-Rated Data; Missing Data Analysis

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APA (6th Edition):

Swanlund, A. P. (2016). Correcting for Rater Bias in the Presence of Non-Ignorable Missing Ratings. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21553

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):

Swanlund, Andrew Peter. “Correcting for Rater Bias in the Presence of Non-Ignorable Missing Ratings.” 2016. Thesis, University of Illinois – Chicago. Accessed July 18, 2019. http://hdl.handle.net/10027/21553.

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

MLA Handbook (7th Edition):

Swanlund, Andrew Peter. “Correcting for Rater Bias in the Presence of Non-Ignorable Missing Ratings.” 2016. Web. 18 Jul 2019.

Vancouver:

Swanlund AP. Correcting for Rater Bias in the Presence of Non-Ignorable Missing Ratings. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10027/21553.

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

Council of Science Editors:

Swanlund AP. Correcting for Rater Bias in the Presence of Non-Ignorable Missing Ratings. [Thesis]. University of Illinois – Chicago; 2016. Available from: http://hdl.handle.net/10027/21553

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


University of Otago

14. Turei Stanton, Worik Macky. Is Data Snooping responsible for Technical Analysis Rules Success? .

Degree: 2013, University of Otago

Data Snooping is often suspected when effective technical analysis rules are found or presented. It is difficult to tell if a result is due to… (more)

Subjects/Keywords: data snooping; data mining; technical analysis

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APA (6th Edition):

Turei Stanton, W. M. (2013). Is Data Snooping responsible for Technical Analysis Rules Success? . (Masters Thesis). University of Otago. Retrieved from http://hdl.handle.net/10523/4346

Chicago Manual of Style (16th Edition):

Turei Stanton, Worik Macky. “Is Data Snooping responsible for Technical Analysis Rules Success? .” 2013. Masters Thesis, University of Otago. Accessed July 18, 2019. http://hdl.handle.net/10523/4346.

MLA Handbook (7th Edition):

Turei Stanton, Worik Macky. “Is Data Snooping responsible for Technical Analysis Rules Success? .” 2013. Web. 18 Jul 2019.

Vancouver:

Turei Stanton WM. Is Data Snooping responsible for Technical Analysis Rules Success? . [Internet] [Masters thesis]. University of Otago; 2013. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10523/4346.

Council of Science Editors:

Turei Stanton WM. Is Data Snooping responsible for Technical Analysis Rules Success? . [Masters Thesis]. University of Otago; 2013. Available from: http://hdl.handle.net/10523/4346


University of Connecticut

15. Ibrahim, Abdelrahman Hosny. Integrative Analysis of Heterogeneous Genomics Data for Triple Negative Breast Cancer and High Grade Serous Ovarian Cancer.

Degree: MS, Computer Science and Engineering, 2016, University of Connecticut

  The human body is made up of trillions of cells. Although all the human body cells contain the same DNA sequence inside their nuclei,… (more)

Subjects/Keywords: cancer; data science; data analysis; genomics; NGS

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APA (6th Edition):

Ibrahim, A. H. (2016). Integrative Analysis of Heterogeneous Genomics Data for Triple Negative Breast Cancer and High Grade Serous Ovarian Cancer. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/1032

Chicago Manual of Style (16th Edition):

Ibrahim, Abdelrahman Hosny. “Integrative Analysis of Heterogeneous Genomics Data for Triple Negative Breast Cancer and High Grade Serous Ovarian Cancer.” 2016. Masters Thesis, University of Connecticut. Accessed July 18, 2019. https://opencommons.uconn.edu/gs_theses/1032.

MLA Handbook (7th Edition):

Ibrahim, Abdelrahman Hosny. “Integrative Analysis of Heterogeneous Genomics Data for Triple Negative Breast Cancer and High Grade Serous Ovarian Cancer.” 2016. Web. 18 Jul 2019.

Vancouver:

Ibrahim AH. Integrative Analysis of Heterogeneous Genomics Data for Triple Negative Breast Cancer and High Grade Serous Ovarian Cancer. [Internet] [Masters thesis]. University of Connecticut; 2016. [cited 2019 Jul 18]. Available from: https://opencommons.uconn.edu/gs_theses/1032.

Council of Science Editors:

Ibrahim AH. Integrative Analysis of Heterogeneous Genomics Data for Triple Negative Breast Cancer and High Grade Serous Ovarian Cancer. [Masters Thesis]. University of Connecticut; 2016. Available from: https://opencommons.uconn.edu/gs_theses/1032


Carnegie Mellon University

16. 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 July 18, 2019. 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. 18 Jul 2019.

Vancouver:

Rzeszotarski JM. Uncovering Nuances in Complex Data Through Focus and Context Visualizations. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2019 Jul 18]. 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


University of Utah

17. Gueye, Abdou Salam. Mapping economic and health data: integration and analysis challenges.

Degree: PhD, Biomedical Informatics;, 2007, University of Utah

 This work included four separate studies that each led to a publication. These studies shared a common relationship between economy or lifestyle and health while… (more)

Subjects/Keywords: Automatic Data Processing; Statistical Analysis

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APA (6th Edition):

Gueye, A. S. (2007). Mapping economic and health data: integration and analysis challenges. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/320/rec/730

Chicago Manual of Style (16th Edition):

Gueye, Abdou Salam. “Mapping economic and health data: integration and analysis challenges.” 2007. Doctoral Dissertation, University of Utah. Accessed July 18, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/320/rec/730.

MLA Handbook (7th Edition):

Gueye, Abdou Salam. “Mapping economic and health data: integration and analysis challenges.” 2007. Web. 18 Jul 2019.

Vancouver:

Gueye AS. Mapping economic and health data: integration and analysis challenges. [Internet] [Doctoral dissertation]. University of Utah; 2007. [cited 2019 Jul 18]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/320/rec/730.

Council of Science Editors:

Gueye AS. Mapping economic and health data: integration and analysis challenges. [Doctoral Dissertation]. University of Utah; 2007. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/320/rec/730


Dalhousie University

18. Ni, Wenjia. Application of Clustering, Logistic Regression and Decision Tree Induction on EGM Data for Detection and Prediction of At-Risk and Problem Gamblers.

Degree: Master of Electronic Commerce, Faculty of Computer Science, 2014, Dalhousie University

 The use of data mining techniques for problem gambling behaviour analysis has huge potential to offer players protection and to reduce the risk of gambling-related… (more)

Subjects/Keywords: Data Mining; Gambling behaviour analysis

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APA (6th Edition):

Ni, W. (2014). Application of Clustering, Logistic Regression and Decision Tree Induction on EGM Data for Detection and Prediction of At-Risk and Problem Gamblers. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/53596

Chicago Manual of Style (16th Edition):

Ni, Wenjia. “Application of Clustering, Logistic Regression and Decision Tree Induction on EGM Data for Detection and Prediction of At-Risk and Problem Gamblers.” 2014. Masters Thesis, Dalhousie University. Accessed July 18, 2019. http://hdl.handle.net/10222/53596.

MLA Handbook (7th Edition):

Ni, Wenjia. “Application of Clustering, Logistic Regression and Decision Tree Induction on EGM Data for Detection and Prediction of At-Risk and Problem Gamblers.” 2014. Web. 18 Jul 2019.

Vancouver:

Ni W. Application of Clustering, Logistic Regression and Decision Tree Induction on EGM Data for Detection and Prediction of At-Risk and Problem Gamblers. [Internet] [Masters thesis]. Dalhousie University; 2014. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10222/53596.

Council of Science Editors:

Ni W. Application of Clustering, Logistic Regression and Decision Tree Induction on EGM Data for Detection and Prediction of At-Risk and Problem Gamblers. [Masters Thesis]. Dalhousie University; 2014. Available from: http://hdl.handle.net/10222/53596


Texas A&M University

19. Li, Yehua. Topics in functional data analysis with biological applications.

Degree: 2009, Texas A&M University

 Functional data analysis (FDA) is an active field of statistics, in which the primary subjects in the study are curves. My dissertation consists of two… (more)

Subjects/Keywords: Functional Data Analysis; Nonparametric statistics

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APA (6th Edition):

Li, Y. (2009). Topics in functional data analysis with biological applications. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-1867

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):

Li, Yehua. “Topics in functional data analysis with biological applications.” 2009. Thesis, Texas A&M University. Accessed July 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-1867.

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

MLA Handbook (7th Edition):

Li, Yehua. “Topics in functional data analysis with biological applications.” 2009. Web. 18 Jul 2019.

Vancouver:

Li Y. Topics in functional data analysis with biological applications. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1867.

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

Council of Science Editors:

Li Y. Topics in functional data analysis with biological applications. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-1867

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


Texas A&M University

20. Almarzooq, Anas Mohammadali S. The Implications and Flow Behavior of the Hydraulically Fractured Wells in Shale Gas Formation.

Degree: 2012, Texas A&M University

 Shale gas formations are known to have low permeability. This low permeability can be as low as 100 nano darcies. Without stimulating wells drilled in… (more)

Subjects/Keywords: Shale gas; production data analysis

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APA (6th Edition):

Almarzooq, A. M. S. (2012). The Implications and Flow Behavior of the Hydraulically Fractured Wells in Shale Gas Formation. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8626

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):

Almarzooq, Anas Mohammadali S. “The Implications and Flow Behavior of the Hydraulically Fractured Wells in Shale Gas Formation.” 2012. Thesis, Texas A&M University. Accessed July 18, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8626.

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

MLA Handbook (7th Edition):

Almarzooq, Anas Mohammadali S. “The Implications and Flow Behavior of the Hydraulically Fractured Wells in Shale Gas Formation.” 2012. Web. 18 Jul 2019.

Vancouver:

Almarzooq AMS. The Implications and Flow Behavior of the Hydraulically Fractured Wells in Shale Gas Formation. [Internet] [Thesis]. Texas A&M University; 2012. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8626.

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

Council of Science Editors:

Almarzooq AMS. The Implications and Flow Behavior of the Hydraulically Fractured Wells in Shale Gas Formation. [Thesis]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2010-12-8626

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


Victoria University of Wellington

21. Li, Xiaomei. Approaches to Modelling Heterogeneity in Longitudinal Studies.

Degree: 2011, Victoria University of Wellington

 This thesis is about estimation bias of longitudinal data when there is correlation between the explanatory variable and the individual effect. In our study, we… (more)

Subjects/Keywords: Longitudinal data analysis; Estimation bias

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APA (6th Edition):

Li, X. (2011). Approaches to Modelling Heterogeneity in Longitudinal Studies. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/1695

Chicago Manual of Style (16th Edition):

Li, Xiaomei. “Approaches to Modelling Heterogeneity in Longitudinal Studies.” 2011. Masters Thesis, Victoria University of Wellington. Accessed July 18, 2019. http://hdl.handle.net/10063/1695.

MLA Handbook (7th Edition):

Li, Xiaomei. “Approaches to Modelling Heterogeneity in Longitudinal Studies.” 2011. Web. 18 Jul 2019.

Vancouver:

Li X. Approaches to Modelling Heterogeneity in Longitudinal Studies. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10063/1695.

Council of Science Editors:

Li X. Approaches to Modelling Heterogeneity in Longitudinal Studies. [Masters Thesis]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/1695


Texas A&M University

22. Ding, Weihao. Experiment of Mapper Algorithm on High-Dimensional Data in Microseismic Monitoring.

Degree: MS, Petroleum Engineering, 2017, Texas A&M University

 The objective of this research to utilize data driven methods to analyze microseismic monitoring, especially using Topological data analysis (TDA) with limited physically based approaches.… (more)

Subjects/Keywords: Data Analysis; Microseismic; Topological; Mapper

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APA (6th Edition):

Ding, W. (2017). Experiment of Mapper Algorithm on High-Dimensional Data in Microseismic Monitoring. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/166077

Chicago Manual of Style (16th Edition):

Ding, Weihao. “Experiment of Mapper Algorithm on High-Dimensional Data in Microseismic Monitoring.” 2017. Masters Thesis, Texas A&M University. Accessed July 18, 2019. http://hdl.handle.net/1969.1/166077.

MLA Handbook (7th Edition):

Ding, Weihao. “Experiment of Mapper Algorithm on High-Dimensional Data in Microseismic Monitoring.” 2017. Web. 18 Jul 2019.

Vancouver:

Ding W. Experiment of Mapper Algorithm on High-Dimensional Data in Microseismic Monitoring. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/1969.1/166077.

Council of Science Editors:

Ding W. Experiment of Mapper Algorithm on High-Dimensional Data in Microseismic Monitoring. [Masters Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/166077


California State University – Sacramento

23. Khosla, Charu. YouTube data analysis using Hadoop.

Degree: MS, Computer Science, 2016, California State University – Sacramento

Analysis of structured data has seen tremendous success in the past. However, analysis of large scale unstructured data in the form of video format remains… (more)

Subjects/Keywords: Hadoop; Data analysis; Hive

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APA (6th Edition):

Khosla, C. (2016). YouTube data analysis using Hadoop. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/182685

Chicago Manual of Style (16th Edition):

Khosla, Charu. “YouTube data analysis using Hadoop.” 2016. Masters Thesis, California State University – Sacramento. Accessed July 18, 2019. http://hdl.handle.net/10211.3/182685.

MLA Handbook (7th Edition):

Khosla, Charu. “YouTube data analysis using Hadoop.” 2016. Web. 18 Jul 2019.

Vancouver:

Khosla C. YouTube data analysis using Hadoop. [Internet] [Masters thesis]. California State University – Sacramento; 2016. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10211.3/182685.

Council of Science Editors:

Khosla C. YouTube data analysis using Hadoop. [Masters Thesis]. California State University – Sacramento; 2016. Available from: http://hdl.handle.net/10211.3/182685


University of Hong Kong

24. Lai, Yiu-ming. Automatic identification of hot topics and user clusters from online discussion forums.

Degree: M. Phil., 2011, University of Hong Kong

With the advancement of Internet technology and the changes in the mode of communications, it is found that much first-hand news have been discussed in… (more)

Subjects/Keywords: Cluster analysis.; Data mining.

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APA (6th Edition):

Lai, Y. (2011). Automatic identification of hot topics and user clusters from online discussion forums. (Masters Thesis). University of Hong Kong. Retrieved from Lai, Y. [黎耀明]. (2011). Automatic identification of hot topics and user clusters from online discussion forums. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784995 ; http://dx.doi.org/10.5353/th_b4784995 ; http://hdl.handle.net/10722/174553

Chicago Manual of Style (16th Edition):

Lai, Yiu-ming. “Automatic identification of hot topics and user clusters from online discussion forums.” 2011. Masters Thesis, University of Hong Kong. Accessed July 18, 2019. Lai, Y. [黎耀明]. (2011). Automatic identification of hot topics and user clusters from online discussion forums. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784995 ; http://dx.doi.org/10.5353/th_b4784995 ; http://hdl.handle.net/10722/174553.

MLA Handbook (7th Edition):

Lai, Yiu-ming. “Automatic identification of hot topics and user clusters from online discussion forums.” 2011. Web. 18 Jul 2019.

Vancouver:

Lai Y. Automatic identification of hot topics and user clusters from online discussion forums. [Internet] [Masters thesis]. University of Hong Kong; 2011. [cited 2019 Jul 18]. Available from: Lai, Y. [黎耀明]. (2011). Automatic identification of hot topics and user clusters from online discussion forums. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784995 ; http://dx.doi.org/10.5353/th_b4784995 ; http://hdl.handle.net/10722/174553.

Council of Science Editors:

Lai Y. Automatic identification of hot topics and user clusters from online discussion forums. [Masters Thesis]. University of Hong Kong; 2011. Available from: Lai, Y. [黎耀明]. (2011). Automatic identification of hot topics and user clusters from online discussion forums. (Thesis). University of Hong Kong, Pokfulam, Hong Kong SAR. Retrieved from http://dx.doi.org/10.5353/th_b4784995 ; http://dx.doi.org/10.5353/th_b4784995 ; http://hdl.handle.net/10722/174553


University of Hawaii – Manoa

25. Abrishamkar, Alireza. License plate survey for traffic analysis : improving accuracy with correction algorithms.

Degree: 2016, University of Hawaii – Manoa

M.S. University of Hawaii at Manoa 2012.

Vehicle tracking methods are widely used for a variety of purposes including collection of travel time and duration… (more)

Subjects/Keywords: traffic analysis; data collection

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APA (6th Edition):

Abrishamkar, A. (2016). License plate survey for traffic analysis : improving accuracy with correction algorithms. (Thesis). University of Hawaii – Manoa. Retrieved from http://hdl.handle.net/10125/101281

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):

Abrishamkar, Alireza. “License plate survey for traffic analysis : improving accuracy with correction algorithms.” 2016. Thesis, University of Hawaii – Manoa. Accessed July 18, 2019. http://hdl.handle.net/10125/101281.

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

MLA Handbook (7th Edition):

Abrishamkar, Alireza. “License plate survey for traffic analysis : improving accuracy with correction algorithms.” 2016. Web. 18 Jul 2019.

Vancouver:

Abrishamkar A. License plate survey for traffic analysis : improving accuracy with correction algorithms. [Internet] [Thesis]. University of Hawaii – Manoa; 2016. [cited 2019 Jul 18]. Available from: http://hdl.handle.net/10125/101281.

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

Council of Science Editors:

Abrishamkar A. License plate survey for traffic analysis : improving accuracy with correction algorithms. [Thesis]. University of Hawaii – Manoa; 2016. Available from: http://hdl.handle.net/10125/101281

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


Tampere University

26. Lin, Jake. Metagenomic tools and applications toward Type 1 Diabetes .

Degree: 2018, Tampere University

 Laskennallinen mikrobipopulaatioiden havaitseminen tyypin 1 diabeteksen ulosteetäytteillä Ihmisen autoimmuunisairauksien puhkeamiseen vaikuttavat hyvin monenlaiset häiriöt solujen toiminnassa ja autoimmuunisairauksien kirjo on hyvin laaja. Esimerkiksi ykköstyypin diabetes… (more)

Subjects/Keywords: Metagenomics; Sequencing; Data Analysis; T1D

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APA (6th Edition):

Lin, J. (2018). Metagenomic tools and applications toward Type 1 Diabetes . (Doctoral Dissertation). Tampere University. Retrieved from http://tampub.uta.fi/handle/10024/103701

Chicago Manual of Style (16th Edition):

Lin, Jake. “Metagenomic tools and applications toward Type 1 Diabetes .” 2018. Doctoral Dissertation, Tampere University. Accessed July 18, 2019. http://tampub.uta.fi/handle/10024/103701.

MLA Handbook (7th Edition):

Lin, Jake. “Metagenomic tools and applications toward Type 1 Diabetes .” 2018. Web. 18 Jul 2019.

Vancouver:

Lin J. Metagenomic tools and applications toward Type 1 Diabetes . [Internet] [Doctoral dissertation]. Tampere University; 2018. [cited 2019 Jul 18]. Available from: http://tampub.uta.fi/handle/10024/103701.

Council of Science Editors:

Lin J. Metagenomic tools and applications toward Type 1 Diabetes . [Doctoral Dissertation]. Tampere University; 2018. Available from: http://tampub.uta.fi/handle/10024/103701


Penn State University

27. Lin, Chun-yu. AN EXPLORATION ON THE USE OF DATA ENVELOPMENT ANALYSIS IN THE PRODUCT DESIGN DOMAIN.

Degree: MS, Industrial Engineering, 2009, Penn State University

 In engineering design domain, product design process is a major focus. In this process, products are realized by several consecutive stages, and decision making is… (more)

Subjects/Keywords: product design; Data envelopment analysis

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APA (6th Edition):

Lin, C. (2009). AN EXPLORATION ON THE USE OF DATA ENVELOPMENT ANALYSIS IN THE PRODUCT DESIGN DOMAIN. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9666

Chicago Manual of Style (16th Edition):

Lin, Chun-yu. “AN EXPLORATION ON THE USE OF DATA ENVELOPMENT ANALYSIS IN THE PRODUCT DESIGN DOMAIN.” 2009. Masters Thesis, Penn State University. Accessed July 18, 2019. https://etda.libraries.psu.edu/catalog/9666.

MLA Handbook (7th Edition):

Lin, Chun-yu. “AN EXPLORATION ON THE USE OF DATA ENVELOPMENT ANALYSIS IN THE PRODUCT DESIGN DOMAIN.” 2009. Web. 18 Jul 2019.

Vancouver:

Lin C. AN EXPLORATION ON THE USE OF DATA ENVELOPMENT ANALYSIS IN THE PRODUCT DESIGN DOMAIN. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2019 Jul 18]. Available from: https://etda.libraries.psu.edu/catalog/9666.

Council of Science Editors:

Lin C. AN EXPLORATION ON THE USE OF DATA ENVELOPMENT ANALYSIS IN THE PRODUCT DESIGN DOMAIN. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9666


Penn State University

28. Hu, Xiaocheng. DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH.

Degree: MS, Industrial Engineering, 2015, Penn State University

 Most of the researches on corporate filling mainly focus on qualitative analysis. This thesis used quantitative method-Bayesian Learning Machine in analyzing the information content of… (more)

Subjects/Keywords: data mining; text analysis; Perl

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APA (6th Edition):

Hu, X. (2015). DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/25731

Chicago Manual of Style (16th Edition):

Hu, Xiaocheng. “DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH.” 2015. Masters Thesis, Penn State University. Accessed July 18, 2019. https://etda.libraries.psu.edu/catalog/25731.

MLA Handbook (7th Edition):

Hu, Xiaocheng. “DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH.” 2015. Web. 18 Jul 2019.

Vancouver:

Hu X. DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2019 Jul 18]. Available from: https://etda.libraries.psu.edu/catalog/25731.

Council of Science Editors:

Hu X. DATA MINING ON CORPORATE FILLING BASED ON BAYESIAN LEARNING APPROACH. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/25731


Penn State University

29. Narayanan, Savitri. INTRODUCTION TO DATA ENVELOPMENT ANALYSIS AND A CASE STUDY IN HEALTH CARE PROVIDERS.

Degree: MS, Industrial Engineering, 2009, Penn State University

Data Envelopment Analysis is a methodology which is used to determine relative efficiencies between decision making units (DMU). It can be used in various industries… (more)

Subjects/Keywords: data envelopment analysis; methods

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APA (6th Edition):

Narayanan, S. (2009). INTRODUCTION TO DATA ENVELOPMENT ANALYSIS AND A CASE STUDY IN HEALTH CARE PROVIDERS. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/9053

Chicago Manual of Style (16th Edition):

Narayanan, Savitri. “INTRODUCTION TO DATA ENVELOPMENT ANALYSIS AND A CASE STUDY IN HEALTH CARE PROVIDERS.” 2009. Masters Thesis, Penn State University. Accessed July 18, 2019. https://etda.libraries.psu.edu/catalog/9053.

MLA Handbook (7th Edition):

Narayanan, Savitri. “INTRODUCTION TO DATA ENVELOPMENT ANALYSIS AND A CASE STUDY IN HEALTH CARE PROVIDERS.” 2009. Web. 18 Jul 2019.

Vancouver:

Narayanan S. INTRODUCTION TO DATA ENVELOPMENT ANALYSIS AND A CASE STUDY IN HEALTH CARE PROVIDERS. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2019 Jul 18]. Available from: https://etda.libraries.psu.edu/catalog/9053.

Council of Science Editors:

Narayanan S. INTRODUCTION TO DATA ENVELOPMENT ANALYSIS AND A CASE STUDY IN HEALTH CARE PROVIDERS. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/9053


Louisiana State University

30. Jose, Neha Clare. Social Media Network Data Mining and Optimization.

Degree: MS, Computer Sciences, 2016, Louisiana State University

 Many small social aid organizations could benefit from collaborating with other organizations on common causes, but may not have the necessary social relationships. We present… (more)

Subjects/Keywords: Graph Analysis; Centrality; Data Mining

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APA (6th Edition):

Jose, N. C. (2016). Social Media Network Data Mining and Optimization. (Masters Thesis). Louisiana State University. Retrieved from etd-05252016-161222 ; https://digitalcommons.lsu.edu/gradschool_theses/3024

Chicago Manual of Style (16th Edition):

Jose, Neha Clare. “Social Media Network Data Mining and Optimization.” 2016. Masters Thesis, Louisiana State University. Accessed July 18, 2019. etd-05252016-161222 ; https://digitalcommons.lsu.edu/gradschool_theses/3024.

MLA Handbook (7th Edition):

Jose, Neha Clare. “Social Media Network Data Mining and Optimization.” 2016. Web. 18 Jul 2019.

Vancouver:

Jose NC. Social Media Network Data Mining and Optimization. [Internet] [Masters thesis]. Louisiana State University; 2016. [cited 2019 Jul 18]. Available from: etd-05252016-161222 ; https://digitalcommons.lsu.edu/gradschool_theses/3024.

Council of Science Editors:

Jose NC. Social Media Network Data Mining and Optimization. [Masters Thesis]. Louisiana State University; 2016. Available from: etd-05252016-161222 ; https://digitalcommons.lsu.edu/gradschool_theses/3024

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