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You searched for subject:(Data Analysis). Showing records 1 – 30 of 5036 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 February 21, 2020. 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. 21 Feb 2020.

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 2020 Feb 21]. 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 February 21, 2020. 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. 21 Feb 2020.

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 2020 Feb 21]. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Nguyen V. Bayesian nonparametric multilevel modelling and applications. [Internet] [Thesis]. Deakin University; 2015. [cited 2020 Feb 21]. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Bloemsma MR. Semi-automatic core characterisation based on geochemical logging data:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2020 Feb 21]. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Nhogue Wabo BN. Hedge Funds and Survival Analysis . [Internet] [Thesis]. University of Ottawa; 2013. [cited 2020 Feb 21]. 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 (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 February 21, 2020. 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. 21 Feb 2020.

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 2020 Feb 21]. 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 (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 February 21, 2020. 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. 21 Feb 2020.

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 2020 Feb 21]. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Wu X. An Informative and Predictive Analysis of the San Francisco Police Department Crime Data. [Internet] [Thesis]. UCLA; 2016. [cited 2020 Feb 21]. 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


University of Central Florida

9. Angelopoulou, Anastasia. A Simulation-Based Task Analysis using Agent-Based, Discrete Event and System Dynamics Simulation.

Degree: 2015, University of Central Florida

 Recent advances in technology have increased the need for using simulation models to analyze tasks and obtain human performance data. A variety of task analysis(more)

Subjects/Keywords: Categorical Data Analysis

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APA (6th Edition):

Angelopoulou, A. (2015). A Simulation-Based Task Analysis using Agent-Based, Discrete Event and System Dynamics Simulation. (Doctoral Dissertation). University of Central Florida. Retrieved from https://stars.library.ucf.edu/etd/5146

Chicago Manual of Style (16th Edition):

Angelopoulou, Anastasia. “A Simulation-Based Task Analysis using Agent-Based, Discrete Event and System Dynamics Simulation.” 2015. Doctoral Dissertation, University of Central Florida. Accessed February 21, 2020. https://stars.library.ucf.edu/etd/5146.

MLA Handbook (7th Edition):

Angelopoulou, Anastasia. “A Simulation-Based Task Analysis using Agent-Based, Discrete Event and System Dynamics Simulation.” 2015. Web. 21 Feb 2020.

Vancouver:

Angelopoulou A. A Simulation-Based Task Analysis using Agent-Based, Discrete Event and System Dynamics Simulation. [Internet] [Doctoral dissertation]. University of Central Florida; 2015. [cited 2020 Feb 21]. Available from: https://stars.library.ucf.edu/etd/5146.

Council of Science Editors:

Angelopoulou A. A Simulation-Based Task Analysis using Agent-Based, Discrete Event and System Dynamics Simulation. [Doctoral Dissertation]. University of Central Florida; 2015. Available from: https://stars.library.ucf.edu/etd/5146


NSYSU

10. 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 February 21, 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. 21 Feb 2020.

Vancouver:

Chen Y. Effectively Aggregating Big Data for Visualization. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Feb 21]. 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

11. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Luo D. Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2020 Feb 21]. 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


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 February 21, 2020. 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. 21 Feb 2020.

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 2020 Feb 21]. 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 Otago

13. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Turei Stanton WM. Is Data Snooping responsible for Technical Analysis Rules Success? . [Internet] [Masters thesis]. University of Otago; 2013. [cited 2020 Feb 21]. 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

14. 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 February 21, 2020. 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. 21 Feb 2020.

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 2020 Feb 21]. 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


University of Illinois – Chicago

15. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Swanlund AP. Correcting for Rater Bias in the Presence of Non-Ignorable Missing Ratings. [Internet] [Thesis]. University of Illinois – Chicago; 2016. [cited 2020 Feb 21]. 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


Rutgers University

16. Yaros, John Robert, 1982-. Data mining perspectives on equity similarity prediction.

Degree: PhD, Computer Science, 2014, Rutgers University

Accurate identification of similar companies is invaluable to the financial and investing communities. To perform relative valuation, a key step is identifying a ``peer group''… (more)

Subjects/Keywords: Data mining – Analysis; Investments – Data processing

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

APA (6th Edition):

Yaros, John Robert, 1. (2014). Data mining perspectives on equity similarity prediction. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/45580/

Chicago Manual of Style (16th Edition):

Yaros, John Robert, 1982-. “Data mining perspectives on equity similarity prediction.” 2014. Doctoral Dissertation, Rutgers University. Accessed February 21, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/45580/.

MLA Handbook (7th Edition):

Yaros, John Robert, 1982-. “Data mining perspectives on equity similarity prediction.” 2014. Web. 21 Feb 2020.

Vancouver:

Yaros, John Robert 1. Data mining perspectives on equity similarity prediction. [Internet] [Doctoral dissertation]. Rutgers University; 2014. [cited 2020 Feb 21]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45580/.

Council of Science Editors:

Yaros, John Robert 1. Data mining perspectives on equity similarity prediction. [Doctoral Dissertation]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/45580/


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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Gueye AS. Mapping economic and health data: integration and analysis challenges. [Internet] [Doctoral dissertation]. University of Utah; 2007. [cited 2020 Feb 21]. 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 February 21, 2020. 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. 21 Feb 2020.

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 2020 Feb 21]. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Li Y. Topics in functional data analysis with biological applications. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2020 Feb 21]. 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 February 21, 2020. 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. 21 Feb 2020.

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 2020 Feb 21]. 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 February 21, 2020. http://hdl.handle.net/10063/1695.

MLA Handbook (7th Edition):

Li, Xiaomei. “Approaches to Modelling Heterogeneity in Longitudinal Studies.” 2011. Web. 21 Feb 2020.

Vancouver:

Li X. Approaches to Modelling Heterogeneity in Longitudinal Studies. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2020 Feb 21]. 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


California State University – Sacramento

22. 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 February 21, 2020. http://hdl.handle.net/10211.3/182685.

MLA Handbook (7th Edition):

Khosla, Charu. “YouTube data analysis using Hadoop.” 2016. Web. 21 Feb 2020.

Vancouver:

Khosla C. YouTube data analysis using Hadoop. [Internet] [Masters thesis]. California State University – Sacramento; 2016. [cited 2020 Feb 21]. 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

23. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Lai Y. Automatic identification of hot topics and user clusters from online discussion forums. [Internet] [Masters thesis]. University of Hong Kong; 2011. [cited 2020 Feb 21]. 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

24. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Abrishamkar A. License plate survey for traffic analysis : improving accuracy with correction algorithms. [Internet] [Thesis]. University of Hawaii – Manoa; 2016. [cited 2020 Feb 21]. 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

25. Tan, Yu Shyang. Reconstructing Data Provenance from Log Files .

Degree: 2017, University of Waikato

Data provenance describes the derivation history of data, capturing details such as the entities involved and the relationships between entities. Knowledge of data provenance can… (more)

Subjects/Keywords: Data Provenance; Reconstruction; Log Analysis

Page 1 Page 2

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APA (6th Edition):

Tan, Y. S. (2017). Reconstructing Data Provenance from Log Files . (Doctoral Dissertation). University of Waikato. Retrieved from http://hdl.handle.net/10289/11388

Chicago Manual of Style (16th Edition):

Tan, Yu Shyang. “Reconstructing Data Provenance from Log Files .” 2017. Doctoral Dissertation, University of Waikato. Accessed February 21, 2020. http://hdl.handle.net/10289/11388.

MLA Handbook (7th Edition):

Tan, Yu Shyang. “Reconstructing Data Provenance from Log Files .” 2017. Web. 21 Feb 2020.

Vancouver:

Tan YS. Reconstructing Data Provenance from Log Files . [Internet] [Doctoral dissertation]. University of Waikato; 2017. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/10289/11388.

Council of Science Editors:

Tan YS. Reconstructing Data Provenance from Log Files . [Doctoral Dissertation]. University of Waikato; 2017. Available from: http://hdl.handle.net/10289/11388


University of Newcastle

26. Cheema, Salman Arif. The aggregate association index and its extensions.

Degree: PhD, 2016, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The analysis of aggregate data from 2x2 contingency tables has a long and interesting history. Traditionally, the approach… (more)

Subjects/Keywords: aggregate; categorical; data analysis

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APA (6th Edition):

Cheema, S. A. (2016). The aggregate association index and its extensions. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1312984

Chicago Manual of Style (16th Edition):

Cheema, Salman Arif. “The aggregate association index and its extensions.” 2016. Doctoral Dissertation, University of Newcastle. Accessed February 21, 2020. http://hdl.handle.net/1959.13/1312984.

MLA Handbook (7th Edition):

Cheema, Salman Arif. “The aggregate association index and its extensions.” 2016. Web. 21 Feb 2020.

Vancouver:

Cheema SA. The aggregate association index and its extensions. [Internet] [Doctoral dissertation]. University of Newcastle; 2016. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/1959.13/1312984.

Council of Science Editors:

Cheema SA. The aggregate association index and its extensions. [Doctoral Dissertation]. University of Newcastle; 2016. Available from: http://hdl.handle.net/1959.13/1312984


University of Minnesota

27. Huroyan, Vahan. Mathematical Formulations, Algorithms and Theory for Big Data Problems.

Degree: PhD, Mathematics, 2018, University of Minnesota

 This is a collection of works that I have done during my Ph.D. research at the University of Minnesota. There are three parts dedicated to… (more)

Subjects/Keywords: Machine Learning; Mathematical Data Analysis

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APA (6th Edition):

Huroyan, V. (2018). Mathematical Formulations, Algorithms and Theory for Big Data Problems. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/201183

Chicago Manual of Style (16th Edition):

Huroyan, Vahan. “Mathematical Formulations, Algorithms and Theory for Big Data Problems.” 2018. Doctoral Dissertation, University of Minnesota. Accessed February 21, 2020. http://hdl.handle.net/11299/201183.

MLA Handbook (7th Edition):

Huroyan, Vahan. “Mathematical Formulations, Algorithms and Theory for Big Data Problems.” 2018. Web. 21 Feb 2020.

Vancouver:

Huroyan V. Mathematical Formulations, Algorithms and Theory for Big Data Problems. [Internet] [Doctoral dissertation]. University of Minnesota; 2018. [cited 2020 Feb 21]. Available from: http://hdl.handle.net/11299/201183.

Council of Science Editors:

Huroyan V. Mathematical Formulations, Algorithms and Theory for Big Data Problems. [Doctoral Dissertation]. University of Minnesota; 2018. Available from: http://hdl.handle.net/11299/201183


North Carolina State University

28. Breimyer, Paul William. A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web.

Degree: PhD, Computer Science, 2009, North Carolina State University

 High-throughput experiments and ultrascale computing generate scientific data of growing size and complexity. These trends challenge traditional data analysis environments, most of which are based… (more)

Subjects/Keywords: statistical data analysis; Web; annotation

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APA (6th Edition):

Breimyer, P. W. (2009). A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4020

Chicago Manual of Style (16th Edition):

Breimyer, Paul William. “A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web.” 2009. Doctoral Dissertation, North Carolina State University. Accessed February 21, 2020. http://www.lib.ncsu.edu/resolver/1840.16/4020.

MLA Handbook (7th Edition):

Breimyer, Paul William. “A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web.” 2009. Web. 21 Feb 2020.

Vancouver:

Breimyer PW. A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2020 Feb 21]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4020.

Council of Science Editors:

Breimyer PW. A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4020


Texas A&M University

29. 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 February 21, 2020. 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. 21 Feb 2020.

Vancouver:

Ding W. Experiment of Mapper Algorithm on High-Dimensional Data in Microseismic Monitoring. [Internet] [Masters thesis]. Texas A&M University; 2017. [cited 2020 Feb 21]. 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


Penn State University

30. 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 February 21, 2020. 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. 21 Feb 2020.

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 2020 Feb 21]. 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

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