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You searched for subject:(Data modeling). Showing records 1 – 30 of 1004 total matches.

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Ohio University

1. Malik, Mandvi. Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling.

Degree: MS, Industrial and Systems Engineering (Engineering and Technology), 2018, Ohio University

 Simulation has been extensively used in various studies to optimize the healthcare facility today. However, the simulation models built for the healthcare industry in the… (more)

Subjects/Keywords: Industrial Engineering; Data-Driven Modeling

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

APA (6th Edition):

Malik, M. (2018). Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535026715457659

Chicago Manual of Style (16th Edition):

Malik, Mandvi. “Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling.” 2018. Masters Thesis, Ohio University. Accessed June 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535026715457659.

MLA Handbook (7th Edition):

Malik, Mandvi. “Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling.” 2018. Web. 17 Jun 2019.

Vancouver:

Malik M. Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling. [Internet] [Masters thesis]. Ohio University; 2018. [cited 2019 Jun 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535026715457659.

Council of Science Editors:

Malik M. Discrete Event Simulation of Operating Rooms Using Data-Driven Modeling. [Masters Thesis]. Ohio University; 2018. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1535026715457659


California State University – Sacramento

2. Kulkarni, Manashree Laxmikant. A courseware for data warehousing.

Degree: MS, Computer Science, 2011, California State University – Sacramento

Data warehousing is one of the important approaches for data integration and data preprocessing. The objective of this project is to develop a web-based interactive… (more)

Subjects/Keywords: Dimensional modeling; Data mining; Data reporting

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APA (6th Edition):

Kulkarni, M. L. (2011). A courseware for data warehousing. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/872

Chicago Manual of Style (16th Edition):

Kulkarni, Manashree Laxmikant. “A courseware for data warehousing.” 2011. Masters Thesis, California State University – Sacramento. Accessed June 17, 2019. http://hdl.handle.net/10211.9/872.

MLA Handbook (7th Edition):

Kulkarni, Manashree Laxmikant. “A courseware for data warehousing.” 2011. Web. 17 Jun 2019.

Vancouver:

Kulkarni ML. A courseware for data warehousing. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10211.9/872.

Council of Science Editors:

Kulkarni ML. A courseware for data warehousing. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/872


University of Texas – Austin

3. Zhang, Yuqun. Modeling and predicting data for business intelligence.

Degree: Electrical and Computer Engineering, 2016, University of Texas – Austin

 Business intelligence is an area where data and actionable information can be analyzed and provided to make more informed business actions. In general, any technique… (more)

Subjects/Keywords: Business intelligence; Data modeling; Data prediction

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APA (6th Edition):

Zhang, Y. (2016). Modeling and predicting data for business intelligence. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/46572

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):

Zhang, Yuqun. “Modeling and predicting data for business intelligence.” 2016. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/46572.

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

MLA Handbook (7th Edition):

Zhang, Yuqun. “Modeling and predicting data for business intelligence.” 2016. Web. 17 Jun 2019.

Vancouver:

Zhang Y. Modeling and predicting data for business intelligence. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/46572.

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

Council of Science Editors:

Zhang Y. Modeling and predicting data for business intelligence. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/46572

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


Virginia Tech

4. Koc, Birgul. Commutation Error in Reduced Order Modeling.

Degree: MS, Mathematics, 2018, Virginia Tech

 We propose reduced order models (ROMs) for an efficient and relatively accurate numerical simulation of nonlinear systems. We use the ROM projection and the ROM… (more)

Subjects/Keywords: Reduced Order Modeling; Data-Driven Modeling; Filtering; Closure Modeling; Commutation Error

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APA (6th Edition):

Koc, B. (2018). Commutation Error in Reduced Order Modeling. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87537

Chicago Manual of Style (16th Edition):

Koc, Birgul. “Commutation Error in Reduced Order Modeling.” 2018. Masters Thesis, Virginia Tech. Accessed June 17, 2019. http://hdl.handle.net/10919/87537.

MLA Handbook (7th Edition):

Koc, Birgul. “Commutation Error in Reduced Order Modeling.” 2018. Web. 17 Jun 2019.

Vancouver:

Koc B. Commutation Error in Reduced Order Modeling. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10919/87537.

Council of Science Editors:

Koc B. Commutation Error in Reduced Order Modeling. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/87537


University of Houston

5. -7818-9745. Analysis of Decline Curve Models in Unconventional Wells and the Effectiveness of Modeling Early-time Data for the Purpose of Forecasting.

Degree: Petroleum Engineering, Department of, 2016, University of Houston

 There are currently several decline models in existence for production forecasting in unconventional reservoirs. This purpose of this research is to apply these different decline… (more)

Subjects/Keywords: Decline Curve Modeling; Unconventional Reservoir Modeling; Forecasting; Early-Time Data Modeling

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APA (6th Edition):

-7818-9745. (2016). Analysis of Decline Curve Models in Unconventional Wells and the Effectiveness of Modeling Early-time Data for the Purpose of Forecasting. (Thesis). University of Houston. Retrieved from http://hdl.handle.net/10657/3187

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

Chicago Manual of Style (16th Edition):

-7818-9745. “Analysis of Decline Curve Models in Unconventional Wells and the Effectiveness of Modeling Early-time Data for the Purpose of Forecasting.” 2016. Thesis, University of Houston. Accessed June 17, 2019. http://hdl.handle.net/10657/3187.

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

MLA Handbook (7th Edition):

-7818-9745. “Analysis of Decline Curve Models in Unconventional Wells and the Effectiveness of Modeling Early-time Data for the Purpose of Forecasting.” 2016. Web. 17 Jun 2019.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-7818-9745. Analysis of Decline Curve Models in Unconventional Wells and the Effectiveness of Modeling Early-time Data for the Purpose of Forecasting. [Internet] [Thesis]. University of Houston; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10657/3187.

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

Council of Science Editors:

-7818-9745. Analysis of Decline Curve Models in Unconventional Wells and the Effectiveness of Modeling Early-time Data for the Purpose of Forecasting. [Thesis]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3187

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


Dalhousie University

6. Rahman, Md Abdur. A Data Mining Framework for Automatic Online Customer Lead Generation.

Degree: Master of Computer Science, Faculty of Computer Science, 2012, Dalhousie University

 Customer lead generation is a crucial and challenging task for online real estate service providers. The business model of online real estate service differs from… (more)

Subjects/Keywords: Data mining; Customer lead generation; Business Intelligence; Data modeling; Data integration

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APA (6th Edition):

Rahman, M. A. (2012). A Data Mining Framework for Automatic Online Customer Lead Generation. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/14587

Chicago Manual of Style (16th Edition):

Rahman, Md Abdur. “A Data Mining Framework for Automatic Online Customer Lead Generation.” 2012. Masters Thesis, Dalhousie University. Accessed June 17, 2019. http://hdl.handle.net/10222/14587.

MLA Handbook (7th Edition):

Rahman, Md Abdur. “A Data Mining Framework for Automatic Online Customer Lead Generation.” 2012. Web. 17 Jun 2019.

Vancouver:

Rahman MA. A Data Mining Framework for Automatic Online Customer Lead Generation. [Internet] [Masters thesis]. Dalhousie University; 2012. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10222/14587.

Council of Science Editors:

Rahman MA. A Data Mining Framework for Automatic Online Customer Lead Generation. [Masters Thesis]. Dalhousie University; 2012. Available from: http://hdl.handle.net/10222/14587


Texas A&M University

7. Ke, Shenyao. Development of Physical Connectors To Assemble Unfolded Planar Panels for the Construction of Large Shapes.

Degree: 2017, Texas A&M University

 In this work, I propose to identify and construct physical counterparts of the links in geometric data structures that are used in shape modeling. These… (more)

Subjects/Keywords: Physical Connectors; Shape Modeling; Geometric Data Structure

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APA (6th Edition):

Ke, S. (2017). Development of Physical Connectors To Assemble Unfolded Planar Panels for the Construction of Large Shapes. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161366

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):

Ke, Shenyao. “Development of Physical Connectors To Assemble Unfolded Planar Panels for the Construction of Large Shapes.” 2017. Thesis, Texas A&M University. Accessed June 17, 2019. http://hdl.handle.net/1969.1/161366.

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

MLA Handbook (7th Edition):

Ke, Shenyao. “Development of Physical Connectors To Assemble Unfolded Planar Panels for the Construction of Large Shapes.” 2017. Web. 17 Jun 2019.

Vancouver:

Ke S. Development of Physical Connectors To Assemble Unfolded Planar Panels for the Construction of Large Shapes. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/1969.1/161366.

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

Council of Science Editors:

Ke S. Development of Physical Connectors To Assemble Unfolded Planar Panels for the Construction of Large Shapes. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161366

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


University of Nairobi

8. Wamiti, Erick K. Modeling of household decision making using a two stage cluster survey data .

Degree: 2011, University of Nairobi

 In central province of Kenya, families fall under different structures. These structure depend on the various parameters like the education of the spouses, their levels… (more)

Subjects/Keywords: Modeling; Household decision making; Cluster survey data

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APA (6th Edition):

Wamiti, E. K. (2011). Modeling of household decision making using a two stage cluster survey data . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14266

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):

Wamiti, Erick K. “Modeling of household decision making using a two stage cluster survey data .” 2011. Thesis, University of Nairobi. Accessed June 17, 2019. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14266.

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

MLA Handbook (7th Edition):

Wamiti, Erick K. “Modeling of household decision making using a two stage cluster survey data .” 2011. Web. 17 Jun 2019.

Vancouver:

Wamiti EK. Modeling of household decision making using a two stage cluster survey data . [Internet] [Thesis]. University of Nairobi; 2011. [cited 2019 Jun 17]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14266.

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

Council of Science Editors:

Wamiti EK. Modeling of household decision making using a two stage cluster survey data . [Thesis]. University of Nairobi; 2011. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14266

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


Cornell University

9. Smith, Rebecca. Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis .

Degree: 2011, Cornell University

 Mycobacterium avium subsp. paratuberculosis (MAP) causes infections in ruminants characterized by long latent periods, imperfect diagnostic tests, and production effects sufficient to result in early… (more)

Subjects/Keywords: statistical modeling; Mycobacterium avium paratuberculosis; longitudinal data

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APA (6th Edition):

Smith, R. (2011). Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/30713

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):

Smith, Rebecca. “Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis .” 2011. Thesis, Cornell University. Accessed June 17, 2019. http://hdl.handle.net/1813/30713.

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

MLA Handbook (7th Edition):

Smith, Rebecca. “Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis .” 2011. Web. 17 Jun 2019.

Vancouver:

Smith R. Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis . [Internet] [Thesis]. Cornell University; 2011. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/1813/30713.

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

Council of Science Editors:

Smith R. Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30713

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


Louisiana State University

10. Syed, Mohammed Shafi. A new diagnostics tool for water injected gas turbines - emissions monitoring and modeling.

Degree: PhD, Chemical Engineering, 2013, Louisiana State University

 Natural gas-fired cogeneration systems are commonly used for large-scale industrial energy production – both electricity generation and heat recovery. Industrial cogeneration currently represents about 8%… (more)

Subjects/Keywords: gas turbines; data reconciliation; emissions; modeling

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APA (6th Edition):

Syed, M. S. (2013). A new diagnostics tool for water injected gas turbines - emissions monitoring and modeling. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-06062013-010835 ; https://digitalcommons.lsu.edu/gradschool_dissertations/994

Chicago Manual of Style (16th Edition):

Syed, Mohammed Shafi. “A new diagnostics tool for water injected gas turbines - emissions monitoring and modeling.” 2013. Doctoral Dissertation, Louisiana State University. Accessed June 17, 2019. etd-06062013-010835 ; https://digitalcommons.lsu.edu/gradschool_dissertations/994.

MLA Handbook (7th Edition):

Syed, Mohammed Shafi. “A new diagnostics tool for water injected gas turbines - emissions monitoring and modeling.” 2013. Web. 17 Jun 2019.

Vancouver:

Syed MS. A new diagnostics tool for water injected gas turbines - emissions monitoring and modeling. [Internet] [Doctoral dissertation]. Louisiana State University; 2013. [cited 2019 Jun 17]. Available from: etd-06062013-010835 ; https://digitalcommons.lsu.edu/gradschool_dissertations/994.

Council of Science Editors:

Syed MS. A new diagnostics tool for water injected gas turbines - emissions monitoring and modeling. [Doctoral Dissertation]. Louisiana State University; 2013. Available from: etd-06062013-010835 ; https://digitalcommons.lsu.edu/gradschool_dissertations/994


University of California – Berkeley

11. Jeong, Seongeun. Understanding Snow Process Uncertainties and Their Impacts.

Degree: Civil and Environmental Engineering, 2009, University of California – Berkeley

 Prediction of snow in regional and global hydrological models has been a difficult task due to errors in the forcing data, subgrid-scale variability in the… (more)

Subjects/Keywords: Engineering, Civil; data assimilation; modeling; snow; uncertainty

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APA (6th Edition):

Jeong, S. (2009). Understanding Snow Process Uncertainties and Their Impacts. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/4zv592q2

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):

Jeong, Seongeun. “Understanding Snow Process Uncertainties and Their Impacts.” 2009. Thesis, University of California – Berkeley. Accessed June 17, 2019. http://www.escholarship.org/uc/item/4zv592q2.

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

MLA Handbook (7th Edition):

Jeong, Seongeun. “Understanding Snow Process Uncertainties and Their Impacts.” 2009. Web. 17 Jun 2019.

Vancouver:

Jeong S. Understanding Snow Process Uncertainties and Their Impacts. [Internet] [Thesis]. University of California – Berkeley; 2009. [cited 2019 Jun 17]. Available from: http://www.escholarship.org/uc/item/4zv592q2.

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

Council of Science Editors:

Jeong S. Understanding Snow Process Uncertainties and Their Impacts. [Thesis]. University of California – Berkeley; 2009. Available from: http://www.escholarship.org/uc/item/4zv592q2

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


Drexel University

12. Thonggoom, Ornsiri. Semi-automatic conceptual data modeling using entity and relationship instance repositories.

Degree: 2011, Drexel University

Conceptual modeling is the foundation of analysis and design methodologies for the development of information systems. It is challenging because it requires a clear understanding… (more)

Subjects/Keywords: Information science; Computer science; Conceptual data modeling

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APA (6th Edition):

Thonggoom, O. (2011). Semi-automatic conceptual data modeling using entity and relationship instance repositories. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/3537

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):

Thonggoom, Ornsiri. “Semi-automatic conceptual data modeling using entity and relationship instance repositories.” 2011. Thesis, Drexel University. Accessed June 17, 2019. http://hdl.handle.net/1860/3537.

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

MLA Handbook (7th Edition):

Thonggoom, Ornsiri. “Semi-automatic conceptual data modeling using entity and relationship instance repositories.” 2011. Web. 17 Jun 2019.

Vancouver:

Thonggoom O. Semi-automatic conceptual data modeling using entity and relationship instance repositories. [Internet] [Thesis]. Drexel University; 2011. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/1860/3537.

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

Council of Science Editors:

Thonggoom O. Semi-automatic conceptual data modeling using entity and relationship instance repositories. [Thesis]. Drexel University; 2011. Available from: http://hdl.handle.net/1860/3537

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


Virginia Tech

13. Zaghlool, Shaza B. Dynamic Causal Modeling Across Network Topologies.

Degree: PhD, Electrical and Computer Engineering, 2014, Virginia Tech

 Dynamic Causal Modeling (DCM) uses dynamical systems to represent the high-level neural processing strategy for a given cognitive task. The logical network topology of the… (more)

Subjects/Keywords: Dynamic Causal Modeling; Expectation-Maximization; Missing Data

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

APA (6th Edition):

Zaghlool, S. B. (2014). Dynamic Causal Modeling Across Network Topologies. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/46874

Chicago Manual of Style (16th Edition):

Zaghlool, Shaza B. “Dynamic Causal Modeling Across Network Topologies.” 2014. Doctoral Dissertation, Virginia Tech. Accessed June 17, 2019. http://hdl.handle.net/10919/46874.

MLA Handbook (7th Edition):

Zaghlool, Shaza B. “Dynamic Causal Modeling Across Network Topologies.” 2014. Web. 17 Jun 2019.

Vancouver:

Zaghlool SB. Dynamic Causal Modeling Across Network Topologies. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10919/46874.

Council of Science Editors:

Zaghlool SB. Dynamic Causal Modeling Across Network Topologies. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/46874


University of Oklahoma

14. Putnam, Bryan. THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS.

Degree: PhD, 2016, University of Oklahoma

 Accurately representing the microphysical state of precipitation using bulk microphysics schemes, including the hydrometeor particle size distributions (PSDs), is vital to improving convective-scale forecasts. In… (more)

Subjects/Keywords: data assimilation; polarimetric radar; convective-scale modeling

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APA (6th Edition):

Putnam, B. (2016). THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/34807

Chicago Manual of Style (16th Edition):

Putnam, Bryan. “THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS.” 2016. Doctoral Dissertation, University of Oklahoma. Accessed June 17, 2019. http://hdl.handle.net/11244/34807.

MLA Handbook (7th Edition):

Putnam, Bryan. “THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS.” 2016. Web. 17 Jun 2019.

Vancouver:

Putnam B. THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS. [Internet] [Doctoral dissertation]. University of Oklahoma; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/11244/34807.

Council of Science Editors:

Putnam B. THE PREDICTION AND ASSIMILATION OF POLARIMETRIC RADAR DATA USING ENSEMBLE-BASED METHODS. [Doctoral Dissertation]. University of Oklahoma; 2016. Available from: http://hdl.handle.net/11244/34807


University of Texas – Austin

15. Yu, Hsiang-Fu. Scalable algorithms for latent variable models in machine learning.

Degree: Computer Sciences, 2016, University of Texas – Austin

 Latent variable modeling (LVM) is a popular approach in many machine learning applications, such as recommender systems and topic modeling, due to its ability to… (more)

Subjects/Keywords: Latent variable modeling; Matrix factorization; Algorithms; Data

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APA (6th Edition):

Yu, H. (2016). Scalable algorithms for latent variable models in machine learning. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/41635

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):

Yu, Hsiang-Fu. “Scalable algorithms for latent variable models in machine learning.” 2016. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/41635.

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

MLA Handbook (7th Edition):

Yu, Hsiang-Fu. “Scalable algorithms for latent variable models in machine learning.” 2016. Web. 17 Jun 2019.

Vancouver:

Yu H. Scalable algorithms for latent variable models in machine learning. [Internet] [Thesis]. University of Texas – Austin; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/41635.

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

Council of Science Editors:

Yu H. Scalable algorithms for latent variable models in machine learning. [Thesis]. University of Texas – Austin; 2016. Available from: http://hdl.handle.net/2152/41635

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


Université Catholique de Louvain

16. Massonnet, François. Evaluation and improvement of climate simulations of sea ice.

Degree: 2014, Université Catholique de Louvain

At high latitudes, a significant part of the oceans is covered by sea ice that forms when seawater freezes. Sea ice is a major player… (more)

Subjects/Keywords: Sea ice modeling; Data assimilation; Climate change

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

APA (6th Edition):

Massonnet, F. (2014). Evaluation and improvement of climate simulations of sea ice. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/146359

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):

Massonnet, François. “Evaluation and improvement of climate simulations of sea ice.” 2014. Thesis, Université Catholique de Louvain. Accessed June 17, 2019. http://hdl.handle.net/2078.1/146359.

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

MLA Handbook (7th Edition):

Massonnet, François. “Evaluation and improvement of climate simulations of sea ice.” 2014. Web. 17 Jun 2019.

Vancouver:

Massonnet F. Evaluation and improvement of climate simulations of sea ice. [Internet] [Thesis]. Université Catholique de Louvain; 2014. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2078.1/146359.

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

Council of Science Editors:

Massonnet F. Evaluation and improvement of climate simulations of sea ice. [Thesis]. Université Catholique de Louvain; 2014. Available from: http://hdl.handle.net/2078.1/146359

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


Penn State University

17. Chattopadhyay, Pritthi. Data-Driven Modeling and Pattern Recognition of Dynamical Systems.

Degree: 2018, Penn State University

 Human-engineered complex systems need to be monitored consistently to ensuretheir safety and efficiency, which might be affected due to degradation over timeor unanticipated disturbances. For… (more)

Subjects/Keywords: data-driven modeling; time series analysis

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APA (6th Edition):

Chattopadhyay, P. (2018). Data-Driven Modeling and Pattern Recognition of Dynamical Systems. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15396pxc271

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):

Chattopadhyay, Pritthi. “Data-Driven Modeling and Pattern Recognition of Dynamical Systems.” 2018. Thesis, Penn State University. Accessed June 17, 2019. https://etda.libraries.psu.edu/catalog/15396pxc271.

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

MLA Handbook (7th Edition):

Chattopadhyay, Pritthi. “Data-Driven Modeling and Pattern Recognition of Dynamical Systems.” 2018. Web. 17 Jun 2019.

Vancouver:

Chattopadhyay P. Data-Driven Modeling and Pattern Recognition of Dynamical Systems. [Internet] [Thesis]. Penn State University; 2018. [cited 2019 Jun 17]. Available from: https://etda.libraries.psu.edu/catalog/15396pxc271.

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

Council of Science Editors:

Chattopadhyay P. Data-Driven Modeling and Pattern Recognition of Dynamical Systems. [Thesis]. Penn State University; 2018. Available from: https://etda.libraries.psu.edu/catalog/15396pxc271

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


Universiteit Utrecht

18. Schuurman, N.K. Multilevel Autoregressive Modeling in Psychology: Snags and Solutions.

Degree: 2016, Universiteit Utrecht

 Psychological processes are of interest in all areas of psychology, and all such processes occur within individuals over time. Some examples of psychological processes are… (more)

Subjects/Keywords: time series; multilevel autoregressive modeling; intensive longitudinal data; bayesian modeling

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APA (6th Edition):

Schuurman, N. K. (2016). Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/337475

Chicago Manual of Style (16th Edition):

Schuurman, N K. “Multilevel Autoregressive Modeling in Psychology: Snags and Solutions.” 2016. Doctoral Dissertation, Universiteit Utrecht. Accessed June 17, 2019. http://dspace.library.uu.nl:8080/handle/1874/337475.

MLA Handbook (7th Edition):

Schuurman, N K. “Multilevel Autoregressive Modeling in Psychology: Snags and Solutions.” 2016. Web. 17 Jun 2019.

Vancouver:

Schuurman NK. Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2016. [cited 2019 Jun 17]. Available from: http://dspace.library.uu.nl:8080/handle/1874/337475.

Council of Science Editors:

Schuurman NK. Multilevel Autoregressive Modeling in Psychology: Snags and Solutions. [Doctoral Dissertation]. Universiteit Utrecht; 2016. Available from: http://dspace.library.uu.nl:8080/handle/1874/337475


Carnegie Mellon University

19. Mandal, Sudipto. Texture and Microstructure in Two-Phase Titanium Alloys.

Degree: 2017, Carnegie Mellon University

 This work explores the processing-microstructure-property relationships in two-phase titanium alloys such as Ti-6Al-4V and Ti-5Al-5V-5Mo-3Cr that are used for aerospace applications. For this purpose, an… (more)

Subjects/Keywords: Computational modeling; Crystal Plasticity; Data analysis; Materials modeling; Microstructures; Titanium

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

APA (6th Edition):

Mandal, S. (2017). Texture and Microstructure in Two-Phase Titanium Alloys. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/1024

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):

Mandal, Sudipto. “Texture and Microstructure in Two-Phase Titanium Alloys.” 2017. Thesis, Carnegie Mellon University. Accessed June 17, 2019. http://repository.cmu.edu/dissertations/1024.

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

MLA Handbook (7th Edition):

Mandal, Sudipto. “Texture and Microstructure in Two-Phase Titanium Alloys.” 2017. Web. 17 Jun 2019.

Vancouver:

Mandal S. Texture and Microstructure in Two-Phase Titanium Alloys. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2019 Jun 17]. Available from: http://repository.cmu.edu/dissertations/1024.

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

Council of Science Editors:

Mandal S. Texture and Microstructure in Two-Phase Titanium Alloys. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/1024

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


Arizona State University

20. Mazza, Gina Lynn. Interaction Effects in Multilevel Models.

Degree: Psychology, 2015, Arizona State University

 Researchers are often interested in estimating interactions in multilevel models, but many researchers assume that the same procedures and interpretations for interactions in single-level models… (more)

Subjects/Keywords: Statistics; Psychology; centering; clustered data; hierarchical modeling; interaction; moderation; multilevel modeling

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

APA (6th Edition):

Mazza, G. L. (2015). Interaction Effects in Multilevel Models. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/36029

Chicago Manual of Style (16th Edition):

Mazza, Gina Lynn. “Interaction Effects in Multilevel Models.” 2015. Masters Thesis, Arizona State University. Accessed June 17, 2019. http://repository.asu.edu/items/36029.

MLA Handbook (7th Edition):

Mazza, Gina Lynn. “Interaction Effects in Multilevel Models.” 2015. Web. 17 Jun 2019.

Vancouver:

Mazza GL. Interaction Effects in Multilevel Models. [Internet] [Masters thesis]. Arizona State University; 2015. [cited 2019 Jun 17]. Available from: http://repository.asu.edu/items/36029.

Council of Science Editors:

Mazza GL. Interaction Effects in Multilevel Models. [Masters Thesis]. Arizona State University; 2015. Available from: http://repository.asu.edu/items/36029


Virginia Tech

21. Mou, Changhong. Cross-Validation of Data-Driven Correction Reduced Order Modeling.

Degree: MS, Mathematics, 2018, Virginia Tech

 Practical engineering and scientific problems often require the repeated simulation of unsteady fluid flows. In these applications, the computational cost of high-fidelity full-order models can… (more)

Subjects/Keywords: Reduced Order Modeling; Scientific Computing; Data-Driven Modeling; Optimization

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APA (6th Edition):

Mou, C. (2018). Cross-Validation of Data-Driven Correction Reduced Order Modeling. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/87610

Chicago Manual of Style (16th Edition):

Mou, Changhong. “Cross-Validation of Data-Driven Correction Reduced Order Modeling.” 2018. Masters Thesis, Virginia Tech. Accessed June 17, 2019. http://hdl.handle.net/10919/87610.

MLA Handbook (7th Edition):

Mou, Changhong. “Cross-Validation of Data-Driven Correction Reduced Order Modeling.” 2018. Web. 17 Jun 2019.

Vancouver:

Mou C. Cross-Validation of Data-Driven Correction Reduced Order Modeling. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10919/87610.

Council of Science Editors:

Mou C. Cross-Validation of Data-Driven Correction Reduced Order Modeling. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/87610


Universidade do Rio Grande do Sul

22. Garcia, Luan Fonseca. Um framework conceitual para inserção de dados de rochas em modelos de reservatório.

Degree: 2016, Universidade do Rio Grande do Sul

A contribuição deste trabalho é um framework conceitual para a inserção de dados diretos de rocha em modelos de grid de reservatório, através da calibragem… (more)

Subjects/Keywords: Ontology; Geoinformática; Petróleo; Rock data; Reservoir modeling; Petroleum geology; Data interoperability

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APA (6th Edition):

Garcia, L. F. (2016). Um framework conceitual para inserção de dados de rochas em modelos de reservatório. (Thesis). Universidade do Rio Grande do Sul. Retrieved from http://hdl.handle.net/10183/142733

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):

Garcia, Luan Fonseca. “Um framework conceitual para inserção de dados de rochas em modelos de reservatório.” 2016. Thesis, Universidade do Rio Grande do Sul. Accessed June 17, 2019. http://hdl.handle.net/10183/142733.

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

MLA Handbook (7th Edition):

Garcia, Luan Fonseca. “Um framework conceitual para inserção de dados de rochas em modelos de reservatório.” 2016. Web. 17 Jun 2019.

Vancouver:

Garcia LF. Um framework conceitual para inserção de dados de rochas em modelos de reservatório. [Internet] [Thesis]. Universidade do Rio Grande do Sul; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10183/142733.

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

Council of Science Editors:

Garcia LF. Um framework conceitual para inserção de dados de rochas em modelos de reservatório. [Thesis]. Universidade do Rio Grande do Sul; 2016. Available from: http://hdl.handle.net/10183/142733

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


Arizona State University

23. Marcoulides, Katerina Marie. A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors.

Degree: Psychology, 2017, Arizona State University

 The process of combining data is one in which information from disjoint datasets sharing at least a number of common variables is merged. This process… (more)

Subjects/Keywords: Quantitative psychology; Bayesian Synthesis; Data Fusion; Data Integration; Longitudinal Growth Modeling

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

APA (6th Edition):

Marcoulides, K. M. (2017). A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/44280

Chicago Manual of Style (16th Edition):

Marcoulides, Katerina Marie. “A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors.” 2017. Doctoral Dissertation, Arizona State University. Accessed June 17, 2019. http://repository.asu.edu/items/44280.

MLA Handbook (7th Edition):

Marcoulides, Katerina Marie. “A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors.” 2017. Web. 17 Jun 2019.

Vancouver:

Marcoulides KM. A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2019 Jun 17]. Available from: http://repository.asu.edu/items/44280.

Council of Science Editors:

Marcoulides KM. A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors. [Doctoral Dissertation]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/44280


Delft University of Technology

24. Harkes, D.C. Relations in Role-Based Data Modeling and Navigation:.

Degree: 2014, Delft University of Technology

 Object-oriented programming languages support concise navigation of relations represented by references. However, relations are not first-class citizens and bidirectional navigation is not supported. The relational… (more)

Subjects/Keywords: relations; data modeling; data navigation; programming language; multiplicities

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

APA (6th Edition):

Harkes, D. C. (2014). Relations in Role-Based Data Modeling and Navigation:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e558e01e-443c-4cc7-9fed-9ccf0313e971

Chicago Manual of Style (16th Edition):

Harkes, D C. “Relations in Role-Based Data Modeling and Navigation:.” 2014. Masters Thesis, Delft University of Technology. Accessed June 17, 2019. http://resolver.tudelft.nl/uuid:e558e01e-443c-4cc7-9fed-9ccf0313e971.

MLA Handbook (7th Edition):

Harkes, D C. “Relations in Role-Based Data Modeling and Navigation:.” 2014. Web. 17 Jun 2019.

Vancouver:

Harkes DC. Relations in Role-Based Data Modeling and Navigation:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2019 Jun 17]. Available from: http://resolver.tudelft.nl/uuid:e558e01e-443c-4cc7-9fed-9ccf0313e971.

Council of Science Editors:

Harkes DC. Relations in Role-Based Data Modeling and Navigation:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:e558e01e-443c-4cc7-9fed-9ccf0313e971

25. Brmež, Simon. PRIMERJAVA ARHITEKTUR PODATKOVNEGA SKLADIŠČENJA.

Degree: 2011, Univerza v Mariboru

V raziskavi smo primerjali arhitekture, ki so primerne za podatkovno skladiščenje operaterja mobilne telefonije. Upoštevali smo realne količine podatkov in njihovo vsebino. Izdelali smo tri… (more)

Subjects/Keywords: podatkovno skladišče; OLAP; podatkovno modeliranje; data warehouse; OLAP; data modeling

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APA (6th Edition):

Brmež, S. (2011). PRIMERJAVA ARHITEKTUR PODATKOVNEGA SKLADIŠČENJA. (Masters Thesis). Univerza v Mariboru. Retrieved from https://dk.um.si/IzpisGradiva.php?id=18203 ; https://dk.um.si/Dokument.php?id=21635&dn= ; https://plus.si.cobiss.net/opac7/bib/6906899?lang=sl

Chicago Manual of Style (16th Edition):

Brmež, Simon. “PRIMERJAVA ARHITEKTUR PODATKOVNEGA SKLADIŠČENJA.” 2011. Masters Thesis, Univerza v Mariboru. Accessed June 17, 2019. https://dk.um.si/IzpisGradiva.php?id=18203 ; https://dk.um.si/Dokument.php?id=21635&dn= ; https://plus.si.cobiss.net/opac7/bib/6906899?lang=sl.

MLA Handbook (7th Edition):

Brmež, Simon. “PRIMERJAVA ARHITEKTUR PODATKOVNEGA SKLADIŠČENJA.” 2011. Web. 17 Jun 2019.

Vancouver:

Brmež S. PRIMERJAVA ARHITEKTUR PODATKOVNEGA SKLADIŠČENJA. [Internet] [Masters thesis]. Univerza v Mariboru; 2011. [cited 2019 Jun 17]. Available from: https://dk.um.si/IzpisGradiva.php?id=18203 ; https://dk.um.si/Dokument.php?id=21635&dn= ; https://plus.si.cobiss.net/opac7/bib/6906899?lang=sl.

Council of Science Editors:

Brmež S. PRIMERJAVA ARHITEKTUR PODATKOVNEGA SKLADIŠČENJA. [Masters Thesis]. Univerza v Mariboru; 2011. Available from: https://dk.um.si/IzpisGradiva.php?id=18203 ; https://dk.um.si/Dokument.php?id=21635&dn= ; https://plus.si.cobiss.net/opac7/bib/6906899?lang=sl


University of Notre Dame

26. Aastha Nigam. Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>.

Degree: PhD, Computer Science and Engineering, 2018, University of Notre Dame

  Human behavior is highly complex and dependent on the interplay of various intrinsic and extrinsic variables making its study extremely challenging. In the era… (more)

Subjects/Keywords: user behavior modeling; context; content; machine learning; big data; data mining

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APA (6th Edition):

Nigam, A. (2018). Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/c821gh9697t

Chicago Manual of Style (16th Edition):

Nigam, Aastha. “Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>.” 2018. Doctoral Dissertation, University of Notre Dame. Accessed June 17, 2019. https://curate.nd.edu/show/c821gh9697t.

MLA Handbook (7th Edition):

Nigam, Aastha. “Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>.” 2018. Web. 17 Jun 2019.

Vancouver:

Nigam A. Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2018. [cited 2019 Jun 17]. Available from: https://curate.nd.edu/show/c821gh9697t.

Council of Science Editors:

Nigam A. Beyond Who and What: Data Driven Approaches for User Behavior Modeling</h1>. [Doctoral Dissertation]. University of Notre Dame; 2018. Available from: https://curate.nd.edu/show/c821gh9697t


The Ohio State University

27. Marsolo, Keith Allen. A workflow for the modeling and analysis of biomedical data.

Degree: PhD, Computer and Information Science, 2007, The Ohio State University

 The use of data mining techniques for the classification of shape and structure can provide critical results when applied biomedical data. On a molecular level,… (more)

Subjects/Keywords: Computer Science; Biomedical Data Modeling; Spatial Modeling; Biomedical Knowledge Discovery; Classification of Structure-based Data.; Bioinformatics; Protein Modeling; Protein Classification

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

APA (6th Edition):

Marsolo, K. A. (2007). A workflow for the modeling and analysis of biomedical data. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265

Chicago Manual of Style (16th Edition):

Marsolo, Keith Allen. “A workflow for the modeling and analysis of biomedical data.” 2007. Doctoral Dissertation, The Ohio State University. Accessed June 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265.

MLA Handbook (7th Edition):

Marsolo, Keith Allen. “A workflow for the modeling and analysis of biomedical data.” 2007. Web. 17 Jun 2019.

Vancouver:

Marsolo KA. A workflow for the modeling and analysis of biomedical data. [Internet] [Doctoral dissertation]. The Ohio State University; 2007. [cited 2019 Jun 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265.

Council of Science Editors:

Marsolo KA. A workflow for the modeling and analysis of biomedical data. [Doctoral Dissertation]. The Ohio State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1180309265

28. Valeriano, Taynara Tuany Borges [UNESP]. Produtividade de café arábica estimada a partir de dados de modelos de circulação global.

Degree: 2017, Universidade Estadual Paulista

O Brasil é o maior produtor da segunda commodity de maior valor no mercado, o café. O conhecimento de técnicas eficazes de estimativa de produtividade… (more)

Subjects/Keywords: Modelagem; Coffea arabica; Dados em GRID; Big data; Modeling; Coffea arabica; Grid Data; Big data

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

APA (6th Edition):

Valeriano, T. T. B. [. (2017). Produtividade de café arábica estimada a partir de dados de modelos de circulação global. (Thesis). Universidade Estadual Paulista. Retrieved from http://hdl.handle.net/11449/150328

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):

Valeriano, Taynara Tuany Borges [UNESP]. “Produtividade de café arábica estimada a partir de dados de modelos de circulação global.” 2017. Thesis, Universidade Estadual Paulista. Accessed June 17, 2019. http://hdl.handle.net/11449/150328.

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

MLA Handbook (7th Edition):

Valeriano, Taynara Tuany Borges [UNESP]. “Produtividade de café arábica estimada a partir de dados de modelos de circulação global.” 2017. Web. 17 Jun 2019.

Vancouver:

Valeriano TTB[. Produtividade de café arábica estimada a partir de dados de modelos de circulação global. [Internet] [Thesis]. Universidade Estadual Paulista; 2017. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/11449/150328.

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

Council of Science Editors:

Valeriano TTB[. Produtividade de café arábica estimada a partir de dados de modelos de circulação global. [Thesis]. Universidade Estadual Paulista; 2017. Available from: http://hdl.handle.net/11449/150328

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


University of Illinois – Urbana-Champaign

29. Ghandchi, Frederick Pejman. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.

Degree: PhD, Crop Sciences, 2016, University of Illinois – Urbana-Champaign

 Chlorophyll is a vital compound in photosynthesis in plants and as such both its biosynthesis and degradation are tightly regulated. Disruption of the regulatory pathway… (more)

Subjects/Keywords: Data Science; Data Engineering; Data Analysis; Computational Analysis; Statistical Programming; Database Development; Statistical Modeling; Genomics

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

APA (6th Edition):

Ghandchi, F. P. (2016). Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92716

Chicago Manual of Style (16th Edition):

Ghandchi, Frederick Pejman. “Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 17, 2019. http://hdl.handle.net/2142/92716.

MLA Handbook (7th Edition):

Ghandchi, Frederick Pejman. “Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.” 2016. Web. 17 Jun 2019.

Vancouver:

Ghandchi FP. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2142/92716.

Council of Science Editors:

Ghandchi FP. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92716


Rochester Institute of Technology

30. Chandrasekaran, Siva Shankar. Understanding Traffic Characteristics in a Server to Server Data Center Network.

Degree: MS, Computer Engineering, 2017, Rochester Institute of Technology

  The number of Data Centers and the servers present in them has been on the rise over the last decade with the advent of… (more)

Subjects/Keywords: Characterization; Data center; Data center network; Data center traffic; Low power; Modeling

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APA (6th Edition):

Chandrasekaran, S. S. (2017). Understanding Traffic Characteristics in a Server to Server Data Center Network. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9399

Chicago Manual of Style (16th Edition):

Chandrasekaran, Siva Shankar. “Understanding Traffic Characteristics in a Server to Server Data Center Network.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed June 17, 2019. https://scholarworks.rit.edu/theses/9399.

MLA Handbook (7th Edition):

Chandrasekaran, Siva Shankar. “Understanding Traffic Characteristics in a Server to Server Data Center Network.” 2017. Web. 17 Jun 2019.

Vancouver:

Chandrasekaran SS. Understanding Traffic Characteristics in a Server to Server Data Center Network. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Jun 17]. Available from: https://scholarworks.rit.edu/theses/9399.

Council of Science Editors:

Chandrasekaran SS. Understanding Traffic Characteristics in a Server to Server Data Center Network. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9399

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