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You searched for +publisher:"University of Michigan" +contributor:("Jagadish, Hosagrahar V."). Showing records 1 – 30 of 34 total matches.

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University of Michigan

1. Chen, Zhe. Information Extraction on Para-Relational Data.

Degree: PhD, Computer Science and Engineering, 2016, University of Michigan

 Para-relational data (such as spreadsheets and diagrams) refers to a type of nearly relational data that shares the important qualities of relational data but does… (more)

Subjects/Keywords: information extraction; data mining; text mining; Computer Science; Engineering

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APA (6th Edition):

Chen, Z. (2016). Information Extraction on Para-Relational Data. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/120853

Chicago Manual of Style (16th Edition):

Chen, Zhe. “Information Extraction on Para-Relational Data.” 2016. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/120853.

MLA Handbook (7th Edition):

Chen, Zhe. “Information Extraction on Para-Relational Data.” 2016. Web. 04 Aug 2020.

Vancouver:

Chen Z. Information Extraction on Para-Relational Data. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/120853.

Council of Science Editors:

Chen Z. Information Extraction on Para-Relational Data. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/120853


University of Michigan

2. Awadallah, Ahmed Mohammed Hassan. Identifying Roles in Social Networks using Linguistic Analysis.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 Social media sites have been significantly growing in the past few years. This resulted in the emergence of several communities of communicating groups, and a… (more)

Subjects/Keywords: Text Mining; Social Network Analysis; Mining Attitude in Discussions; Mining Influence in Discussions; Computer Science; Engineering

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APA (6th Edition):

Awadallah, A. M. H. (2011). Identifying Roles in Social Networks using Linguistic Analysis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86271

Chicago Manual of Style (16th Edition):

Awadallah, Ahmed Mohammed Hassan. “Identifying Roles in Social Networks using Linguistic Analysis.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/86271.

MLA Handbook (7th Edition):

Awadallah, Ahmed Mohammed Hassan. “Identifying Roles in Social Networks using Linguistic Analysis.” 2011. Web. 04 Aug 2020.

Vancouver:

Awadallah AMH. Identifying Roles in Social Networks using Linguistic Analysis. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/86271.

Council of Science Editors:

Awadallah AMH. Identifying Roles in Social Networks using Linguistic Analysis. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86271


University of Michigan

3. Zhou, Hao. Methods and Tools for Visual Analytics.

Degree: PhD, Statistics, 2011, University of Michigan

 Technological advances have led to a proliferation of data characterized by a complex structure; namely, high-dimensional attribute information complemented by relationships between the objects or… (more)

Subjects/Keywords: Visual Analytics; Statistics and Numeric Data; Science

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APA (6th Edition):

Zhou, H. (2011). Methods and Tools for Visual Analytics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89683

Chicago Manual of Style (16th Edition):

Zhou, Hao. “Methods and Tools for Visual Analytics.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/89683.

MLA Handbook (7th Edition):

Zhou, Hao. “Methods and Tools for Visual Analytics.” 2011. Web. 04 Aug 2020.

Vancouver:

Zhou H. Methods and Tools for Visual Analytics. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/89683.

Council of Science Editors:

Zhou H. Methods and Tools for Visual Analytics. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89683


University of Michigan

4. Biwer, Craig. Computing Obesity: Signal Processing and Machine Learning Applied to Predictive Modeling of Clinical Weight-Loss.

Degree: PhD, Bioinformatics, 2017, University of Michigan

 Overweight and obesity are highly prevalent in the United States, with over two-thirds of the adult population classified as overweight and over one-third as obese.… (more)

Subjects/Keywords: Obesity; Signal processing; Machine learning; Health Sciences; Science

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APA (6th Edition):

Biwer, C. (2017). Computing Obesity: Signal Processing and Machine Learning Applied to Predictive Modeling of Clinical Weight-Loss. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140907

Chicago Manual of Style (16th Edition):

Biwer, Craig. “Computing Obesity: Signal Processing and Machine Learning Applied to Predictive Modeling of Clinical Weight-Loss.” 2017. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/140907.

MLA Handbook (7th Edition):

Biwer, Craig. “Computing Obesity: Signal Processing and Machine Learning Applied to Predictive Modeling of Clinical Weight-Loss.” 2017. Web. 04 Aug 2020.

Vancouver:

Biwer C. Computing Obesity: Signal Processing and Machine Learning Applied to Predictive Modeling of Clinical Weight-Loss. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/140907.

Council of Science Editors:

Biwer C. Computing Obesity: Signal Processing and Machine Learning Applied to Predictive Modeling of Clinical Weight-Loss. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140907


University of Michigan

5. Antenucci, Dolan. Maximizing Insight from Modern Economic Analysis.

Degree: PhD, Computer Science & Engineering, 2018, University of Michigan

 The last decade has seen a growing trend of economists exploring how to extract different economic insight from "big data" sources such as the Web.… (more)

Subjects/Keywords: economic big data analysis; Computer Science; Engineering

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APA (6th Edition):

Antenucci, D. (2018). Maximizing Insight from Modern Economic Analysis. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/144007

Chicago Manual of Style (16th Edition):

Antenucci, Dolan. “Maximizing Insight from Modern Economic Analysis.” 2018. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/144007.

MLA Handbook (7th Edition):

Antenucci, Dolan. “Maximizing Insight from Modern Economic Analysis.” 2018. Web. 04 Aug 2020.

Vancouver:

Antenucci D. Maximizing Insight from Modern Economic Analysis. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/144007.

Council of Science Editors:

Antenucci D. Maximizing Insight from Modern Economic Analysis. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/144007


University of Michigan

6. Huang, Jiamin. Achieving Performance Predictability in Transactional Databases.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

 While much of the research on transaction processing has focused on improving over- all performance in terms of throughput and mean latency, surprisingly less attention… (more)

Subjects/Keywords: database; transactions; performance predictability; profiler; lock scheduling; MySQL; Computer Science; Engineering

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APA (6th Edition):

Huang, J. (2019). Achieving Performance Predictability in Transactional Databases. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153336

Chicago Manual of Style (16th Edition):

Huang, Jiamin. “Achieving Performance Predictability in Transactional Databases.” 2019. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/153336.

MLA Handbook (7th Edition):

Huang, Jiamin. “Achieving Performance Predictability in Transactional Databases.” 2019. Web. 04 Aug 2020.

Vancouver:

Huang J. Achieving Performance Predictability in Transactional Databases. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/153336.

Council of Science Editors:

Huang J. Achieving Performance Predictability in Transactional Databases. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153336


University of Michigan

7. Anderson, Michael. It's Data All the Way Down: Exploring the Relationship Between Machine Learning and Data Management.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

 Data is central to machine learning: models are trained with data, trained models infer their predictions over input data, and the resulting inferences are themselves… (more)

Subjects/Keywords: database; machine learning; deep learning; data management; feature engineering; image recognition; Computer Science; Engineering

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APA (6th Edition):

Anderson, M. (2019). It's Data All the Way Down: Exploring the Relationship Between Machine Learning and Data Management. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153458

Chicago Manual of Style (16th Edition):

Anderson, Michael. “It's Data All the Way Down: Exploring the Relationship Between Machine Learning and Data Management.” 2019. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/153458.

MLA Handbook (7th Edition):

Anderson, Michael. “It's Data All the Way Down: Exploring the Relationship Between Machine Learning and Data Management.” 2019. Web. 04 Aug 2020.

Vancouver:

Anderson M. It's Data All the Way Down: Exploring the Relationship Between Machine Learning and Data Management. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/153458.

Council of Science Editors:

Anderson M. It's Data All the Way Down: Exploring the Relationship Between Machine Learning and Data Management. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153458


University of Michigan

8. Baik, Christopher. Maximizing User Domain Expertise to Clarify Oblique Specifications of Relational Queries.

Degree: PhD, Computer Science & Engineering, 2020, University of Michigan

 While there is abundant access to data management technology today, working with data is still challenging for the average user. One common means of manipulating… (more)

Subjects/Keywords: relational database; SQL; natural language interface; programming by example; oblique query specification; Computer Science; Engineering

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APA (6th Edition):

Baik, C. (2020). Maximizing User Domain Expertise to Clarify Oblique Specifications of Relational Queries. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/155114

Chicago Manual of Style (16th Edition):

Baik, Christopher. “Maximizing User Domain Expertise to Clarify Oblique Specifications of Relational Queries.” 2020. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/155114.

MLA Handbook (7th Edition):

Baik, Christopher. “Maximizing User Domain Expertise to Clarify Oblique Specifications of Relational Queries.” 2020. Web. 04 Aug 2020.

Vancouver:

Baik C. Maximizing User Domain Expertise to Clarify Oblique Specifications of Relational Queries. [Internet] [Doctoral dissertation]. University of Michigan; 2020. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/155114.

Council of Science Editors:

Baik C. Maximizing User Domain Expertise to Clarify Oblique Specifications of Relational Queries. [Doctoral Dissertation]. University of Michigan; 2020. Available from: http://hdl.handle.net/2027.42/155114


University of Michigan

9. Ju, Xiaoen. Efficient Large-Scale Graph Processing.

Degree: PhD, Computer Science and Engineering, 2016, University of Michigan

 The abundance of large graphs and the high potential for insight extraction from them have fueled interest in large-scale graph processing systems. Despite significant enhancement… (more)

Subjects/Keywords: graph processing systems; Computer Science; Engineering

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APA (6th Edition):

Ju, X. (2016). Efficient Large-Scale Graph Processing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/133378

Chicago Manual of Style (16th Edition):

Ju, Xiaoen. “Efficient Large-Scale Graph Processing.” 2016. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/133378.

MLA Handbook (7th Edition):

Ju, Xiaoen. “Efficient Large-Scale Graph Processing.” 2016. Web. 04 Aug 2020.

Vancouver:

Ju X. Efficient Large-Scale Graph Processing. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/133378.

Council of Science Editors:

Ju X. Efficient Large-Scale Graph Processing. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/133378


University of Michigan

10. Nandi, Arnab. Answering Imprecise Structured Search Queries.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 Humans are increasingly becoming the primary consumer of structured data. As the volume and heterogeneity of data produced in the world increases, the existing paradigm… (more)

Subjects/Keywords: Database; Search; Computer Science; Engineering

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APA (6th Edition):

Nandi, A. (2011). Answering Imprecise Structured Search Queries. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86495

Chicago Manual of Style (16th Edition):

Nandi, Arnab. “Answering Imprecise Structured Search Queries.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/86495.

MLA Handbook (7th Edition):

Nandi, Arnab. “Answering Imprecise Structured Search Queries.” 2011. Web. 04 Aug 2020.

Vancouver:

Nandi A. Answering Imprecise Structured Search Queries. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/86495.

Council of Science Editors:

Nandi A. Answering Imprecise Structured Search Queries. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86495


University of Michigan

11. Bhutani, Nikita. Answering Complex Questions Using Curated and Extracted Knowledge Bases.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

 The web is awash in textual data. As users struggle to navigate this textual data, the art and science of search engines have changed dramatically… (more)

Subjects/Keywords: knowledge base construction; knowledge-based question answering; open information extraction; Computer Science; Engineering

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APA (6th Edition):

Bhutani, N. (2019). Answering Complex Questions Using Curated and Extracted Knowledge Bases. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/151607

Chicago Manual of Style (16th Edition):

Bhutani, Nikita. “Answering Complex Questions Using Curated and Extracted Knowledge Bases.” 2019. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/151607.

MLA Handbook (7th Edition):

Bhutani, Nikita. “Answering Complex Questions Using Curated and Extracted Knowledge Bases.” 2019. Web. 04 Aug 2020.

Vancouver:

Bhutani N. Answering Complex Questions Using Curated and Extracted Knowledge Bases. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/151607.

Council of Science Editors:

Bhutani N. Answering Complex Questions Using Curated and Extracted Knowledge Bases. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/151607


University of Michigan

12. Yoon, Dong Young. Autonomous Database Management at Scale: Automated Tuning, Performance Diagnosis, and Resource Decentralization.

Degree: PhD, Computer Science & Engineering, 2019, University of Michigan

 Database administration has always been a challenging task, and is becoming even more difficult with the rise of public and private clouds. Today, many enterprises… (more)

Subjects/Keywords: autonomous databases; database management; automated tuning; performance diagnosis; resource decentralization; Computer Science; Engineering

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APA (6th Edition):

Yoon, D. Y. (2019). Autonomous Database Management at Scale: Automated Tuning, Performance Diagnosis, and Resource Decentralization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/153349

Chicago Manual of Style (16th Edition):

Yoon, Dong Young. “Autonomous Database Management at Scale: Automated Tuning, Performance Diagnosis, and Resource Decentralization.” 2019. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/153349.

MLA Handbook (7th Edition):

Yoon, Dong Young. “Autonomous Database Management at Scale: Automated Tuning, Performance Diagnosis, and Resource Decentralization.” 2019. Web. 04 Aug 2020.

Vancouver:

Yoon DY. Autonomous Database Management at Scale: Automated Tuning, Performance Diagnosis, and Resource Decentralization. [Internet] [Doctoral dissertation]. University of Michigan; 2019. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/153349.

Council of Science Editors:

Yoon DY. Autonomous Database Management at Scale: Automated Tuning, Performance Diagnosis, and Resource Decentralization. [Doctoral Dissertation]. University of Michigan; 2019. Available from: http://hdl.handle.net/2027.42/153349

13. Li, Fei. Querying RDBMS using Natural Language.

Degree: PhD, Computer Science & Engineering, 2017, University of Michigan

 It is often challenging to specify queries against a relational database since SQL requires its users to know the exact schema of the database, the… (more)

Subjects/Keywords: NLIDB; Natural Language Processing; Database Usability; Semantic Parsing; Computer Science; Engineering

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APA (6th Edition):

Li, F. (2017). Querying RDBMS using Natural Language. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138709

Chicago Manual of Style (16th Edition):

Li, Fei. “Querying RDBMS using Natural Language.” 2017. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/138709.

MLA Handbook (7th Edition):

Li, Fei. “Querying RDBMS using Natural Language.” 2017. Web. 04 Aug 2020.

Vancouver:

Li F. Querying RDBMS using Natural Language. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/138709.

Council of Science Editors:

Li F. Querying RDBMS using Natural Language. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138709

14. Singh, Manish. Effective Faceted Browsing.

Degree: PhD, Computer Science and Engineering, 2014, University of Michigan

 Faceted browsing is a popular paradigm for end-user data access. It is, at present, the de-facto search interface for almost all e-commerce. A typical faceted… (more)

Subjects/Keywords: Faceted Browsing; Information Exploration; Data Summarization; Database Usability; Computer Science; Engineering

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APA (6th Edition):

Singh, M. (2014). Effective Faceted Browsing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/110485

Chicago Manual of Style (16th Edition):

Singh, Manish. “Effective Faceted Browsing.” 2014. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/110485.

MLA Handbook (7th Edition):

Singh, Manish. “Effective Faceted Browsing.” 2014. Web. 04 Aug 2020.

Vancouver:

Singh M. Effective Faceted Browsing. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/110485.

Council of Science Editors:

Singh M. Effective Faceted Browsing. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/110485

15. Kelly, Reagan John. The Development and Application of a Risk Index to Predict Individualized Chronic Disease Risk.

Degree: PhD, Bioinformatics, 2009, University of Michigan

 Integrating clinical and genetic information to improve clinicians’ ability to estimate an individual’s disease risk is an important biomedical research challenge. This dissertation develops a… (more)

Subjects/Keywords: Bioinformatics; Risk Prediction; Integrating Clinical and Genetic Data; Machine Learning; Genetics; Statistics and Numeric Data; Science

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APA (6th Edition):

Kelly, R. J. (2009). The Development and Application of a Risk Index to Predict Individualized Chronic Disease Risk. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/64650

Chicago Manual of Style (16th Edition):

Kelly, Reagan John. “The Development and Application of a Risk Index to Predict Individualized Chronic Disease Risk.” 2009. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/64650.

MLA Handbook (7th Edition):

Kelly, Reagan John. “The Development and Application of a Risk Index to Predict Individualized Chronic Disease Risk.” 2009. Web. 04 Aug 2020.

Vancouver:

Kelly RJ. The Development and Application of a Risk Index to Predict Individualized Chronic Disease Risk. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/64650.

Council of Science Editors:

Kelly RJ. The Development and Application of a Risk Index to Predict Individualized Chronic Disease Risk. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/64650

16. Tian, Yuanyuan. Querying Graph Databases.

Degree: PhD, Computer Science & Engineering, 2008, University of Michigan

 Real life data can often be modeled as graphs, in which nodes represent objects and edges indicate their relationships. Large graph datasets are common in… (more)

Subjects/Keywords: Graph Query; Graph Matching; Graph Summarization; Computer Science; Engineering

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APA (6th Edition):

Tian, Y. (2008). Querying Graph Databases. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/61640

Chicago Manual of Style (16th Edition):

Tian, Yuanyuan. “Querying Graph Databases.” 2008. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/61640.

MLA Handbook (7th Edition):

Tian, Yuanyuan. “Querying Graph Databases.” 2008. Web. 04 Aug 2020.

Vancouver:

Tian Y. Querying Graph Databases. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/61640.

Council of Science Editors:

Tian Y. Querying Graph Databases. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/61640

17. Liu, Bin. Direct Manipulation Querying of Database Systems.

Degree: PhD, Computer Science & Engineering, 2011, University of Michigan

 Database systems are tremendously powerful and useful, as evidenced by their popularity in modern business. Unfortunately, for non-expert users, to use a database is still… (more)

Subjects/Keywords: Database Systems, Direct Manipulation, Human Computer Interaction, Querying Interface; Computer Science; Engineering

…Challenges Sam, a new graduate student at the University of Michigan, is looking for a sedan in a… 

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APA (6th Edition):

Liu, B. (2011). Direct Manipulation Querying of Database Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86282

Chicago Manual of Style (16th Edition):

Liu, Bin. “Direct Manipulation Querying of Database Systems.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/86282.

MLA Handbook (7th Edition):

Liu, Bin. “Direct Manipulation Querying of Database Systems.” 2011. Web. 04 Aug 2020.

Vancouver:

Liu B. Direct Manipulation Querying of Database Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/86282.

Council of Science Editors:

Liu B. Direct Manipulation Querying of Database Systems. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86282

18. Zhang, Jing. Provenance in Modifiable Datasets.

Degree: PhD, Computer Science & Engineering, 2012, University of Michigan

 The provenance of derived data, which explains the derivation and retrieves or captures the source data, is valuable information for the data consumers possibly due… (more)

Subjects/Keywords: Database; Provenance; Computer Science; Engineering

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APA (6th Edition):

Zhang, J. (2012). Provenance in Modifiable Datasets. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/94013

Chicago Manual of Style (16th Edition):

Zhang, Jing. “Provenance in Modifiable Datasets.” 2012. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/94013.

MLA Handbook (7th Edition):

Zhang, Jing. “Provenance in Modifiable Datasets.” 2012. Web. 04 Aug 2020.

Vancouver:

Zhang J. Provenance in Modifiable Datasets. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/94013.

Council of Science Editors:

Zhang J. Provenance in Modifiable Datasets. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/94013

19. Fang, Lujun. Mechanisms of Controlled Sharing for Social Networking Users.

Degree: PhD, Computer Science & Engineering, 2013, University of Michigan

 Social networking sites are attracting hundreds of millions of users to share information online. One critical task for all of these users is to decided… (more)

Subjects/Keywords: Social Network; Controlled Sharing; Computer Science; Engineering

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APA (6th Edition):

Fang, L. (2013). Mechanisms of Controlled Sharing for Social Networking Users. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/97999

Chicago Manual of Style (16th Edition):

Fang, Lujun. “Mechanisms of Controlled Sharing for Social Networking Users.” 2013. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/97999.

MLA Handbook (7th Edition):

Fang, Lujun. “Mechanisms of Controlled Sharing for Social Networking Users.” 2013. Web. 04 Aug 2020.

Vancouver:

Fang L. Mechanisms of Controlled Sharing for Social Networking Users. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/97999.

Council of Science Editors:

Fang L. Mechanisms of Controlled Sharing for Social Networking Users. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/97999

20. Qian, Li. Reducing End-User Burden in Everyday Data Organization.

Degree: PhD, Computer Science & Engineering, 2013, University of Michigan

 As digital data permeates every aspect of our daily life, more and more end-users are organizing their everyday data electronically. In fact, end-users are already… (more)

Subjects/Keywords: Database Userbility; Schema Design and Evolution; Sample-Driven Schema Mapping; Example-Driven Selection; Incremental Information Integration; Computer Science; Engineering

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APA (6th Edition):

Qian, L. (2013). Reducing End-User Burden in Everyday Data Organization. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/99778

Chicago Manual of Style (16th Edition):

Qian, Li. “Reducing End-User Burden in Everyday Data Organization.” 2013. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/99778.

MLA Handbook (7th Edition):

Qian, Li. “Reducing End-User Burden in Everyday Data Organization.” 2013. Web. 04 Aug 2020.

Vancouver:

Qian L. Reducing End-User Burden in Everyday Data Organization. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/99778.

Council of Science Editors:

Qian L. Reducing End-User Burden in Everyday Data Organization. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/99778

21. Fabbri, Daniel. Explanation-Based Auditing.

Degree: PhD, Computer Science and Engineering, 2013, University of Michigan

 Recent U.S. legislation such as the Affordable Care Act, HIPAA and HITECH outline rules governing the appropriate use of personal health information (PHI). Unfortunately, current… (more)

Subjects/Keywords: Data Security; Computer Science; Engineering

…the University of Michigan Health System. The main insight of this thesis is that most… …reviewed by the compliance officer. This insight is exemplified by the University of Michigan… …to filter over 94% of the accesses from a University of Michigan Health System audit log… …inappropriate behavior. The University of Michigan Health System’s Compliance Office will evaluate the… …evaluated using a de-identified temporal snapshot of the University of Michigan Health System’s… 

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

APA (6th Edition):

Fabbri, D. (2013). Explanation-Based Auditing. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/97860

Chicago Manual of Style (16th Edition):

Fabbri, Daniel. “Explanation-Based Auditing.” 2013. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/97860.

MLA Handbook (7th Edition):

Fabbri, Daniel. “Explanation-Based Auditing.” 2013. Web. 04 Aug 2020.

Vancouver:

Fabbri D. Explanation-Based Auditing. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/97860.

Council of Science Editors:

Fabbri D. Explanation-Based Auditing. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/97860

22. Ozgur, Arzucan. Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.

Degree: PhD, Computer Science & Engineering, 2010, University of Michigan

 Most of the new and important findings in biomedicine are only available in the text of the published scientific articles. The first goal of this… (more)

Subjects/Keywords: Information Extraction; Natural Language Processing; Text Mining; Bioinformatics; Literature-based Discovery; Network Analysis; Computer Science; Engineering; Science

…of Doctor of Philosophy (Computer Science and Engineering) in The University of… …Michigan 2010 Doctoral Committee: Professor Dragomir R. Radev, Chair Professor Brian D. Athey… 

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

APA (6th Edition):

Ozgur, A. (2010). Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/78956

Chicago Manual of Style (16th Edition):

Ozgur, Arzucan. “Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.” 2010. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/78956.

MLA Handbook (7th Edition):

Ozgur, Arzucan. “Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.” 2010. Web. 04 Aug 2020.

Vancouver:

Ozgur A. Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/78956.

Council of Science Editors:

Ozgur A. Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/78956

23. Hur, Junguk. Integration of Text Mining with Systems Biology Provides New Insight into the Pathogenesis of Diabetic Neuropathy.

Degree: PhD, Bioinformatics, 2010, University of Michigan

 Diabetic neuropathy (DN) is the most common complication of diabetes affecting approximately 60% of all diabetic patients leading to significant mortality, morbidity, and poor quality… (more)

Subjects/Keywords: Literature Mining; Diabetic Neuropathy; Biomarker Discovery; Reactive Oxygen Species; Bioinformatics; Systems Biology; Science

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APA (6th Edition):

Hur, J. (2010). Integration of Text Mining with Systems Biology Provides New Insight into the Pathogenesis of Diabetic Neuropathy. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/77941

Chicago Manual of Style (16th Edition):

Hur, Junguk. “Integration of Text Mining with Systems Biology Provides New Insight into the Pathogenesis of Diabetic Neuropathy.” 2010. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/77941.

MLA Handbook (7th Edition):

Hur, Junguk. “Integration of Text Mining with Systems Biology Provides New Insight into the Pathogenesis of Diabetic Neuropathy.” 2010. Web. 04 Aug 2020.

Vancouver:

Hur J. Integration of Text Mining with Systems Biology Provides New Insight into the Pathogenesis of Diabetic Neuropathy. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/77941.

Council of Science Editors:

Hur J. Integration of Text Mining with Systems Biology Provides New Insight into the Pathogenesis of Diabetic Neuropathy. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/77941

24. Shaverdian, Anna Arpi. A Visual Analytic Framework for Graphs.

Degree: PhD, Computer Science and Engineering, 2012, University of Michigan

 Visual Analytics is the science of analytical reasoning through visual interaction. Graphs are ubiquitous: high-throughput ``omics'' sciences generate data to study pathways and computer networks… (more)

Subjects/Keywords: Visual Analytic Methods for Graphs; Computer Science; Engineering

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APA (6th Edition):

Shaverdian, A. A. (2012). A Visual Analytic Framework for Graphs. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/93900

Chicago Manual of Style (16th Edition):

Shaverdian, Anna Arpi. “A Visual Analytic Framework for Graphs.” 2012. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/93900.

MLA Handbook (7th Edition):

Shaverdian, Anna Arpi. “A Visual Analytic Framework for Graphs.” 2012. Web. 04 Aug 2020.

Vancouver:

Shaverdian AA. A Visual Analytic Framework for Graphs. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/93900.

Council of Science Editors:

Shaverdian AA. A Visual Analytic Framework for Graphs. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/93900

25. Park, Yongjoo. Fast Data Analytics by Learning.

Degree: PhD, Computer Science & Engineering, 2017, University of Michigan

 Today, we collect a large amount of data, and the volume of the data we collect is projected to grow faster than the growth of… (more)

Subjects/Keywords: big data analytics systems; database systems; approximate query processing; database learning; Computer Science; Engineering

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APA (6th Edition):

Park, Y. (2017). Fast Data Analytics by Learning. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/138598

Chicago Manual of Style (16th Edition):

Park, Yongjoo. “Fast Data Analytics by Learning.” 2017. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/138598.

MLA Handbook (7th Edition):

Park, Yongjoo. “Fast Data Analytics by Learning.” 2017. Web. 04 Aug 2020.

Vancouver:

Park Y. Fast Data Analytics by Learning. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/138598.

Council of Science Editors:

Park Y. Fast Data Analytics by Learning. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/138598

26. Benson, Mark. Binding MOAD (Mother of All Databases).

Degree: PhD, Bioinformatics, 2009, University of Michigan

 Binding MOAD (Mother of All Databases) is the largest collection of high-quality, protein-ligand complexes available from the Protein Data Bank. Mining Binding MOAD has revealed… (more)

Subjects/Keywords: Protein-ligand Binding; Database; Natural Language Processing; Ligand Efficiency; Docking; Biological Chemistry; Science

Page 1 Page 2 Page 3 Page 4 Page 5

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APA (6th Edition):

Benson, M. (2009). Binding MOAD (Mother of All Databases). (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/62331

Chicago Manual of Style (16th Edition):

Benson, Mark. “Binding MOAD (Mother of All Databases).” 2009. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/62331.

MLA Handbook (7th Edition):

Benson, Mark. “Binding MOAD (Mother of All Databases).” 2009. Web. 04 Aug 2020.

Vancouver:

Benson M. Binding MOAD (Mother of All Databases). [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/62331.

Council of Science Editors:

Benson M. Binding MOAD (Mother of All Databases). [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/62331


University of Michigan

27. Morse, Michael David. Efficient Algorithms for Similarity and Skyline Summary on Multidimensional Datasets.

Degree: PhD, Computer Science & Engineering, 2007, University of Michigan

 Efficient management of large multidimensional datasets has attracted much attention in the database research community. Such large multidimensional datasets are common and efficient algorithms are… (more)

Subjects/Keywords: Computer Science; Database System; Skyline Query Processing; Time-Series Similarity; Spatial-Temporal Database; Computer Science; Engineering

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APA (6th Edition):

Morse, M. D. (2007). Efficient Algorithms for Similarity and Skyline Summary on Multidimensional Datasets. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/57643

Chicago Manual of Style (16th Edition):

Morse, Michael David. “Efficient Algorithms for Similarity and Skyline Summary on Multidimensional Datasets.” 2007. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/57643.

MLA Handbook (7th Edition):

Morse, Michael David. “Efficient Algorithms for Similarity and Skyline Summary on Multidimensional Datasets.” 2007. Web. 04 Aug 2020.

Vancouver:

Morse MD. Efficient Algorithms for Similarity and Skyline Summary on Multidimensional Datasets. [Internet] [Doctoral dissertation]. University of Michigan; 2007. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/57643.

Council of Science Editors:

Morse MD. Efficient Algorithms for Similarity and Skyline Summary on Multidimensional Datasets. [Doctoral Dissertation]. University of Michigan; 2007. Available from: http://hdl.handle.net/2027.42/57643


University of Michigan

28. Chen, Yun. Efficient Query Processing for Spatio-Temporal Databases.

Degree: PhD, Computer Science & Engineering, 2008, University of Michigan

 Spatio-temporal databases are required to efficiently support queries on large numbers of continuously moving objects. In this thesis we propose three techniques to address this… (more)

Subjects/Keywords: Spatio-temporal Databases; Database Indexing; Spatial Query Processing; Location Privacy; Moving Objects; Database Location Privacy; Computer Science; Engineering

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APA (6th Edition):

Chen, Y. (2008). Efficient Query Processing for Spatio-Temporal Databases. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/58540

Chicago Manual of Style (16th Edition):

Chen, Yun. “Efficient Query Processing for Spatio-Temporal Databases.” 2008. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/58540.

MLA Handbook (7th Edition):

Chen, Yun. “Efficient Query Processing for Spatio-Temporal Databases.” 2008. Web. 04 Aug 2020.

Vancouver:

Chen Y. Efficient Query Processing for Spatio-Temporal Databases. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/58540.

Council of Science Editors:

Chen Y. Efficient Query Processing for Spatio-Temporal Databases. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/58540


University of Michigan

29. Kim, You Jung. Efficient Index-based Methods for Processing Large Biological Databases.

Degree: PhD, Computer Science & Engineering, 2008, University of Michigan

 Over the last few decades, advances in life sciences have generated a vast amount of biological data. To cope with the rapid increase in data… (more)

Subjects/Keywords: Database; Bioinformatics; Index Based Methods; Biological Sequence Database Search; Computer Science; Engineering

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

APA (6th Edition):

Kim, Y. J. (2008). Efficient Index-based Methods for Processing Large Biological Databases. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/61570

Chicago Manual of Style (16th Edition):

Kim, You Jung. “Efficient Index-based Methods for Processing Large Biological Databases.” 2008. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/61570.

MLA Handbook (7th Edition):

Kim, You Jung. “Efficient Index-based Methods for Processing Large Biological Databases.” 2008. Web. 04 Aug 2020.

Vancouver:

Kim YJ. Efficient Index-based Methods for Processing Large Biological Databases. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/61570.

Council of Science Editors:

Kim YJ. Efficient Index-based Methods for Processing Large Biological Databases. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/61570


University of Michigan

30. Chapman, Adriane P. Incorporating Provenance in Database Systems.

Degree: PhD, Computer Science & Engineering, 2008, University of Michigan

 The importance of maintaining provenance has been widely recognized. Currently there are two approaches: provenance generated within workflow frameworks, and provenance within a contained relational… (more)

Subjects/Keywords: Provenance; Lineage; Algorithms; Usability; Provenance Capture; Provenance Compression; Computer Science; Engineering (General); Engineering

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APA (6th Edition):

Chapman, A. P. (2008). Incorporating Provenance in Database Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/61645

Chicago Manual of Style (16th Edition):

Chapman, Adriane P. “Incorporating Provenance in Database Systems.” 2008. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/61645.

MLA Handbook (7th Edition):

Chapman, Adriane P. “Incorporating Provenance in Database Systems.” 2008. Web. 04 Aug 2020.

Vancouver:

Chapman AP. Incorporating Provenance in Database Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/61645.

Council of Science Editors:

Chapman AP. Incorporating Provenance in Database Systems. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/61645

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