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You searched for +publisher:"University of Florida" +contributor:("Kahveci, Tamer"). Showing records 1 – 30 of 35 total matches.

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University of Florida

1. Davis-Richardson, Austin G. Data Analysis Approaches for Identifying Host-Microbe Interactions.

Degree: PhD, Microbiology and Cell Science, 2015, University of Florida

 Communities of microbes residing on the body, referred to as the microbiome, may influence host health. Interest in the human microbiome has increased in recent… (more)

Subjects/Keywords: Bacteroides; Bacteroids; DNA; Gene expression; Genomes; Methylation; Sequencing; Symbiosis; Taxa; Type 1 diabetes mellitus; diabetes  – endosymbiosis  – microbiology  – microbiome  – statistics

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APA (6th Edition):

Davis-Richardson, A. G. (2015). Data Analysis Approaches for Identifying Host-Microbe Interactions. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049116

Chicago Manual of Style (16th Edition):

Davis-Richardson, Austin G. “Data Analysis Approaches for Identifying Host-Microbe Interactions.” 2015. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0049116.

MLA Handbook (7th Edition):

Davis-Richardson, Austin G. “Data Analysis Approaches for Identifying Host-Microbe Interactions.” 2015. Web. 07 May 2021.

Vancouver:

Davis-Richardson AG. Data Analysis Approaches for Identifying Host-Microbe Interactions. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0049116.

Council of Science Editors:

Davis-Richardson AG. Data Analysis Approaches for Identifying Host-Microbe Interactions. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0049116


University of Florida

2. Boyaci, Cem. Complexity and Delay Characterization of Wireless Scheduling Algorithms.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Recently, escalating number of wireless network users and popularity of  multimedia-driven applications give rise to an increasing demand  for high throughput and low delay that… (more)

Subjects/Keywords: Algorithms; Approximation; Computational complexity; Harmonic functions; Mathematical vectors; Optimal solutions; Polynomials; Scheduling; Sufficient conditions; Vertices; coloring  – delay  – graph  – networking  – scheduling  – throughput  – wireless

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APA (6th Edition):

Boyaci, C. (2012). Complexity and Delay Characterization of Wireless Scheduling Algorithms. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044112

Chicago Manual of Style (16th Edition):

Boyaci, Cem. “Complexity and Delay Characterization of Wireless Scheduling Algorithms.” 2012. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0044112.

MLA Handbook (7th Edition):

Boyaci, Cem. “Complexity and Delay Characterization of Wireless Scheduling Algorithms.” 2012. Web. 07 May 2021.

Vancouver:

Boyaci C. Complexity and Delay Characterization of Wireless Scheduling Algorithms. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0044112.

Council of Science Editors:

Boyaci C. Complexity and Delay Characterization of Wireless Scheduling Algorithms. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044112


University of Florida

3. Syu, Yu-Song. How Do User Behaviors Affect Information Propagation in Twitter?.

Degree: MS, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Online social networks (OSNs) have become an imperative channel for information propagation and influence such as advertising products in viral marketing or convincing voters in… (more)

Subjects/Keywords: Datasets; Information behavior; Information flow; International conferences; Internet; Online social networking; Social media; Social networking; Uniform Resource Locators; World Wide Web; socialnetwork

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APA (6th Edition):

Syu, Y. (2012). How Do User Behaviors Affect Information Propagation in Twitter?. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044690

Chicago Manual of Style (16th Edition):

Syu, Yu-Song. “How Do User Behaviors Affect Information Propagation in Twitter?.” 2012. Masters Thesis, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0044690.

MLA Handbook (7th Edition):

Syu, Yu-Song. “How Do User Behaviors Affect Information Propagation in Twitter?.” 2012. Web. 07 May 2021.

Vancouver:

Syu Y. How Do User Behaviors Affect Information Propagation in Twitter?. [Internet] [Masters thesis]. University of Florida; 2012. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0044690.

Council of Science Editors:

Syu Y. How Do User Behaviors Affect Information Propagation in Twitter?. [Masters Thesis]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044690


University of Florida

4. Jampani, Ravindranath Chowdary. Efficient Query Processing in MCDB-R.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Quantitative risk analysis has become an integral part of large financial institutions. For banking and insurance enterprises, calculating the risk of future insolvency is mandatory… (more)

Subjects/Keywords: Customers; Databases; Datasets; Identifiers; Information attributes; Mathematical independent variables; Monte Carlo methods; Probability distributions; Risk analysis; Simulations; databases  – probabilistic  – processing  – query  – statistical

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APA (6th Edition):

Jampani, R. C. (2012). Efficient Query Processing in MCDB-R. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044090

Chicago Manual of Style (16th Edition):

Jampani, Ravindranath Chowdary. “Efficient Query Processing in MCDB-R.” 2012. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0044090.

MLA Handbook (7th Edition):

Jampani, Ravindranath Chowdary. “Efficient Query Processing in MCDB-R.” 2012. Web. 07 May 2021.

Vancouver:

Jampani RC. Efficient Query Processing in MCDB-R. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0044090.

Council of Science Editors:

Jampani RC. Efficient Query Processing in MCDB-R. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044090


University of Florida

5. Gabr, Haitham Mohammad. Modeling and Characterization of Probabilistic Biological Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2015, University of Florida

 Studying biological networks has gathered an overwhelming interest in recent literature. Different molecules are modeled as network vertices and their interactions as network edges. Most… (more)

Subjects/Keywords: Apoptosis; Bioinformatics; Datasets; Leukemia; Polynomials; Receptors; Sampling rates; Separators; Signals; Topology; networks  – probabilistic  – reachability

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APA (6th Edition):

Gabr, H. M. (2015). Modeling and Characterization of Probabilistic Biological Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0048991

Chicago Manual of Style (16th Edition):

Gabr, Haitham Mohammad. “Modeling and Characterization of Probabilistic Biological Networks.” 2015. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0048991.

MLA Handbook (7th Edition):

Gabr, Haitham Mohammad. “Modeling and Characterization of Probabilistic Biological Networks.” 2015. Web. 07 May 2021.

Vancouver:

Gabr HM. Modeling and Characterization of Probabilistic Biological Networks. [Internet] [Doctoral dissertation]. University of Florida; 2015. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0048991.

Council of Science Editors:

Gabr HM. Modeling and Characterization of Probabilistic Biological Networks. [Doctoral Dissertation]. University of Florida; 2015. Available from: https://ufdc.ufl.edu/UFE0048991


University of Florida

6. Nguyen, Nam P. Community Structure and Its Applications in Dynamic Complex Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 In this dissertation, we focus on analyzing and understanding the organizational principals, assessing the structural vulnerability as well as exploring practical applications of dynamic complex… (more)

Subjects/Keywords: Community structure; Datasets; Discourse communities; Modularity; Online communities; Online social networking; Social media; Social networking; Uniform Resource Locators; Worms; adaptive-algorithm  – community-detection  – dynamic-complex-network  – fowarding-routing-stategy  – mobile-network  – online-social-network  – stable-community  – worm-containment

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APA (6th Edition):

Nguyen, N. P. (2013). Community Structure and Its Applications in Dynamic Complex Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0045408

Chicago Manual of Style (16th Edition):

Nguyen, Nam P. “Community Structure and Its Applications in Dynamic Complex Networks.” 2013. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0045408.

MLA Handbook (7th Edition):

Nguyen, Nam P. “Community Structure and Its Applications in Dynamic Complex Networks.” 2013. Web. 07 May 2021.

Vancouver:

Nguyen NP. Community Structure and Its Applications in Dynamic Complex Networks. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0045408.

Council of Science Editors:

Nguyen NP. Community Structure and Its Applications in Dynamic Complex Networks. [Doctoral Dissertation]. University of Florida; 2013. Available from: https://ufdc.ufl.edu/UFE0045408


University of Florida

7. Ozkan, Aysegul. Easal Algorithms and Software for Analyzing Entropy-Driven Assembly Landscapes.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2014, University of Florida

Robust and spontaneous supramolecular and macromolecular self-assembly processes are poorly understood. These include helix packing, viral self-assembly Advisors/Committee Members: SITHARAM,MEERA (committee chair), AGBANDJE-MCKENNA,MAVIS (committee member), KAHVECI,TAMER (committee member), KOPELEVICH,DMITRY I (committee member).

Subjects/Keywords: Atoms; Cartesianism; Entropy; Free energy; Jacobians; Landscapes; Molecules; Potential energy; Tetrahedrons; Trajectories; algorithmic  – assembly  – atlas  – cayley  – configuration  – convex  – energy  – entropy  – geometric  – geometry  – landscape  – molecular  – parameterization  – semi-algebraic  – space  – stratification  – supramolecular

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APA (6th Edition):

Ozkan, A. (2014). Easal Algorithms and Software for Analyzing Entropy-Driven Assembly Landscapes. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0047140

Chicago Manual of Style (16th Edition):

Ozkan, Aysegul. “Easal Algorithms and Software for Analyzing Entropy-Driven Assembly Landscapes.” 2014. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0047140.

MLA Handbook (7th Edition):

Ozkan, Aysegul. “Easal Algorithms and Software for Analyzing Entropy-Driven Assembly Landscapes.” 2014. Web. 07 May 2021.

Vancouver:

Ozkan A. Easal Algorithms and Software for Analyzing Entropy-Driven Assembly Landscapes. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0047140.

Council of Science Editors:

Ozkan A. Easal Algorithms and Software for Analyzing Entropy-Driven Assembly Landscapes. [Doctoral Dissertation]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0047140


University of Florida

8. Hasan, Md Mahmudul. Efficient Querying of Biological Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2016, University of Florida

 Biological processes drive different functions in cells using complex interaction networks among molecules. We begin querying such biological networks by finding frequent subnetworks in a… (more)

Subjects/Keywords: Bioinformatics; Colts; Databases; Datasets; Eukaryotic cells; Indexing; Personnel evaluation; Prokaryotes; Statistical significance; Topology; algorithm  – alignment  – bioinformatics  – indexing  – network

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APA (6th Edition):

Hasan, M. M. (2016). Efficient Querying of Biological Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0050226

Chicago Manual of Style (16th Edition):

Hasan, Md Mahmudul. “Efficient Querying of Biological Networks.” 2016. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0050226.

MLA Handbook (7th Edition):

Hasan, Md Mahmudul. “Efficient Querying of Biological Networks.” 2016. Web. 07 May 2021.

Vancouver:

Hasan MM. Efficient Querying of Biological Networks. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0050226.

Council of Science Editors:

Hasan MM. Efficient Querying of Biological Networks. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0050226


University of Florida

9. Ren, Yuanfang. Algorithms to Construct and Explore the Biological Networks with Uncertainty.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2018, University of Florida

 Biological networks describe how different molecules interact with each other to carry out key functions. Studying biological networks provides deep insights into molecular biology. Constructing… (more)

Subjects/Keywords: gene  – motif  – networks

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APA (6th Edition):

Ren, Y. (2018). Algorithms to Construct and Explore the Biological Networks with Uncertainty. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0053993

Chicago Manual of Style (16th Edition):

Ren, Yuanfang. “Algorithms to Construct and Explore the Biological Networks with Uncertainty.” 2018. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0053993.

MLA Handbook (7th Edition):

Ren, Yuanfang. “Algorithms to Construct and Explore the Biological Networks with Uncertainty.” 2018. Web. 07 May 2021.

Vancouver:

Ren Y. Algorithms to Construct and Explore the Biological Networks with Uncertainty. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0053993.

Council of Science Editors:

Ren Y. Algorithms to Construct and Explore the Biological Networks with Uncertainty. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0053993


University of Florida

10. Nirkhiwale, Supriya. A Sampling Algebra for Scalable Approximate Query Processing.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2018, University of Florida

 As of 2005, sampling has been incorporated in all major databases. While efficient sampling techniques are easily realizable, determining the accuracy of an estimate obtained… (more)

Subjects/Keywords: aqp  – big-data  – confidence-interval  – error-estimation  – sampling

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APA (6th Edition):

Nirkhiwale, S. (2018). A Sampling Algebra for Scalable Approximate Query Processing. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0052185

Chicago Manual of Style (16th Edition):

Nirkhiwale, Supriya. “A Sampling Algebra for Scalable Approximate Query Processing.” 2018. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0052185.

MLA Handbook (7th Edition):

Nirkhiwale, Supriya. “A Sampling Algebra for Scalable Approximate Query Processing.” 2018. Web. 07 May 2021.

Vancouver:

Nirkhiwale S. A Sampling Algebra for Scalable Approximate Query Processing. [Internet] [Doctoral dissertation]. University of Florida; 2018. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0052185.

Council of Science Editors:

Nirkhiwale S. A Sampling Algebra for Scalable Approximate Query Processing. [Doctoral Dissertation]. University of Florida; 2018. Available from: https://ufdc.ufl.edu/UFE0052185


University of Florida

11. Kanjilal, Virupaksha. Designing, Querying, Implementing, and Integrating Spatial Networks in Spatial Databases.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2012, University of Florida

 Spatial networks like road networks, pipeline networks, transportation networks, and power network are being increasingly used in the fields of route planning, land use planning,… (more)

Subjects/Keywords: Boundary points; Crossovers; Data models; Data types; Databases; Geometry; Grammar; Oracles; Spatial models; Spatial points; database  – gis  – implement  – network  – querying  – represent  – spatial

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APA (6th Edition):

Kanjilal, V. (2012). Designing, Querying, Implementing, and Integrating Spatial Networks in Spatial Databases. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0044911

Chicago Manual of Style (16th Edition):

Kanjilal, Virupaksha. “Designing, Querying, Implementing, and Integrating Spatial Networks in Spatial Databases.” 2012. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0044911.

MLA Handbook (7th Edition):

Kanjilal, Virupaksha. “Designing, Querying, Implementing, and Integrating Spatial Networks in Spatial Databases.” 2012. Web. 07 May 2021.

Vancouver:

Kanjilal V. Designing, Querying, Implementing, and Integrating Spatial Networks in Spatial Databases. [Internet] [Doctoral dissertation]. University of Florida; 2012. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0044911.

Council of Science Editors:

Kanjilal V. Designing, Querying, Implementing, and Integrating Spatial Networks in Spatial Databases. [Doctoral Dissertation]. University of Florida; 2012. Available from: https://ufdc.ufl.edu/UFE0044911

12. Gulsoy, Gunhan. Querying Large Biological Network Datasets.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2013, University of Florida

 New experimental methods has resulted in increasing amount of genetic interaction data to be generated every day. Biological networks are used to store genetic interaction… (more)

Subjects/Keywords: Algorithms; Bioinformatics; Color semiotics; Databases; Datasets; Dynamic programming; Indexing; P values; Regulator genes; Topology; bioinformatics  – biological-network-databases  – biological-networks  – computational-biology  – database-indexing  – databases

…Dissertation Presented to the Graduate School of the University of Florida in Partial Fulfillment of… 

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APA (6th Edition):

Gulsoy, G. (2013). Querying Large Biological Network Datasets. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0045644

Chicago Manual of Style (16th Edition):

Gulsoy, Gunhan. “Querying Large Biological Network Datasets.” 2013. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0045644.

MLA Handbook (7th Edition):

Gulsoy, Gunhan. “Querying Large Biological Network Datasets.” 2013. Web. 07 May 2021.

Vancouver:

Gulsoy G. Querying Large Biological Network Datasets. [Internet] [Doctoral dissertation]. University of Florida; 2013. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0045644.

Council of Science Editors:

Gulsoy G. Querying Large Biological Network Datasets. [Doctoral Dissertation]. University of Florida; 2013. Available from: https://ufdc.ufl.edu/UFE0045644


University of Florida

13. Wang, Gongyu. Productive Formulation and Design Methods for Reconfigurable Computing.

Degree: PhD, Electrical and Computer Engineering, 2016, University of Florida

Subjects/Keywords: debug; design; formulation; fpga; high-performance; productivity; reconfigurable-computing

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APA (6th Edition):

Wang, G. (2016). Productive Formulation and Design Methods for Reconfigurable Computing. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0050306

Chicago Manual of Style (16th Edition):

Wang, Gongyu. “Productive Formulation and Design Methods for Reconfigurable Computing.” 2016. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0050306.

MLA Handbook (7th Edition):

Wang, Gongyu. “Productive Formulation and Design Methods for Reconfigurable Computing.” 2016. Web. 07 May 2021.

Vancouver:

Wang G. Productive Formulation and Design Methods for Reconfigurable Computing. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0050306.

Council of Science Editors:

Wang G. Productive Formulation and Design Methods for Reconfigurable Computing. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0050306


University of Florida

14. Perez, Luis. Monte Carlo Processing of Satisfiability Queries in Uncertain Databases.

Degree: MS, Computer Engineering - Computer and Information Science and Engineering, 2009, University of Florida

 The management of uncertain information using relational databases has been an active area of research during the last decade. Several data and query processing models… (more)

Subjects/Keywords: Customers; Data management; Databases; Information attributes; Marketing strategies; Modal realism; Monte Carlo methods; Query processing; Relational databases; Satisfiability; database, information, probabilistic, systems, uncertainty

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APA (6th Edition):

Perez, L. (2009). Monte Carlo Processing of Satisfiability Queries in Uncertain Databases. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0025141

Chicago Manual of Style (16th Edition):

Perez, Luis. “Monte Carlo Processing of Satisfiability Queries in Uncertain Databases.” 2009. Masters Thesis, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0025141.

MLA Handbook (7th Edition):

Perez, Luis. “Monte Carlo Processing of Satisfiability Queries in Uncertain Databases.” 2009. Web. 07 May 2021.

Vancouver:

Perez L. Monte Carlo Processing of Satisfiability Queries in Uncertain Databases. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0025141.

Council of Science Editors:

Perez L. Monte Carlo Processing of Satisfiability Queries in Uncertain Databases. [Masters Thesis]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0025141


University of Florida

15. Smith, Johnathan D. Analysis of Large Networks with Limited Data.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2020, University of Florida

Social networks have become a part of everyday life, and yet our tools for analyzing them Advisors/Committee Members: Thai,My Tra (committee chair), Kahveci,Tamer (committee member), Pardalos,Panagote M (committee member).

Subjects/Keywords: networks  – social

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APA (6th Edition):

Smith, J. D. (2020). Analysis of Large Networks with Limited Data. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0056396

Chicago Manual of Style (16th Edition):

Smith, Johnathan D. “Analysis of Large Networks with Limited Data.” 2020. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0056396.

MLA Handbook (7th Edition):

Smith, Johnathan D. “Analysis of Large Networks with Limited Data.” 2020. Web. 07 May 2021.

Vancouver:

Smith JD. Analysis of Large Networks with Limited Data. [Internet] [Doctoral dissertation]. University of Florida; 2020. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0056396.

Council of Science Editors:

Smith JD. Analysis of Large Networks with Limited Data. [Doctoral Dissertation]. University of Florida; 2020. Available from: https://ufdc.ufl.edu/UFE0056396


University of Florida

16. Pansare, Niketan. Multi-Query Optimization in the Datapath System.

Degree: MS, Computer Engineering - Computer and Information Science and Engineering, 2009, University of Florida

 The performance of conventional databases on modern hardware is suboptimal as compared to the scientific and commercial applications. Recent studies have shown that this suboptimal… (more)

Subjects/Keywords: Algorithms; Cost functions; Costing; Databases; Engines; Experimental results; Heuristics; International conferences; Search strategies; Side tables; datapath, multi, optimization, query

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APA (6th Edition):

Pansare, N. (2009). Multi-Query Optimization in the Datapath System. (Masters Thesis). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0025140

Chicago Manual of Style (16th Edition):

Pansare, Niketan. “Multi-Query Optimization in the Datapath System.” 2009. Masters Thesis, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0025140.

MLA Handbook (7th Edition):

Pansare, Niketan. “Multi-Query Optimization in the Datapath System.” 2009. Web. 07 May 2021.

Vancouver:

Pansare N. Multi-Query Optimization in the Datapath System. [Internet] [Masters thesis]. University of Florida; 2009. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0025140.

Council of Science Editors:

Pansare N. Multi-Query Optimization in the Datapath System. [Masters Thesis]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0025140


University of Florida

17. Venkateswaran, Jayendr. Indexing Techniques for Metric Databases with Costly Searches.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2007, University of Florida

 Similarity search in database systems is becoming an increasingly important task in modern application domains such as artificial intelligence, computational biology, pattern recognition and data… (more)

Subjects/Keywords: Databases; Distance functions; DNA; Image databases; Indexing; Information search; Input output; Prunes; Pruning; Statistical discrepancies; databases, dynamic, indexing, metric, multimedia, reference, sequence, similarity

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APA (6th Edition):

Venkateswaran, J. (2007). Indexing Techniques for Metric Databases with Costly Searches. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0021666

Chicago Manual of Style (16th Edition):

Venkateswaran, Jayendr. “Indexing Techniques for Metric Databases with Costly Searches.” 2007. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0021666.

MLA Handbook (7th Edition):

Venkateswaran, Jayendr. “Indexing Techniques for Metric Databases with Costly Searches.” 2007. Web. 07 May 2021.

Vancouver:

Venkateswaran J. Indexing Techniques for Metric Databases with Costly Searches. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0021666.

Council of Science Editors:

Venkateswaran J. Indexing Techniques for Metric Databases with Costly Searches. [Doctoral Dissertation]. University of Florida; 2007. Available from: https://ufdc.ufl.edu/UFE0021666


University of Florida

18. Sari, Halil Ibrahim. Examining Content Control in Adaptive Tests: Computerized Adaptive Testing vs. Computerized Multistage Testing.

Degree: PhD, Research and Evaluation Methodology - Human Development and Organizational Studies in Education, 2016, University of Florida

Subjects/Keywords: cat; content-control; mst

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APA (6th Edition):

Sari, H. I. (2016). Examining Content Control in Adaptive Tests: Computerized Adaptive Testing vs. Computerized Multistage Testing. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0050190

Chicago Manual of Style (16th Edition):

Sari, Halil Ibrahim. “Examining Content Control in Adaptive Tests: Computerized Adaptive Testing vs. Computerized Multistage Testing.” 2016. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0050190.

MLA Handbook (7th Edition):

Sari, Halil Ibrahim. “Examining Content Control in Adaptive Tests: Computerized Adaptive Testing vs. Computerized Multistage Testing.” 2016. Web. 07 May 2021.

Vancouver:

Sari HI. Examining Content Control in Adaptive Tests: Computerized Adaptive Testing vs. Computerized Multistage Testing. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0050190.

Council of Science Editors:

Sari HI. Examining Content Control in Adaptive Tests: Computerized Adaptive Testing vs. Computerized Multistage Testing. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0050190


University of Florida

19. Ranjan, Anshu. Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids.

Degree: PhD, Computer Science - Computer and Information Science and Engineering, 2016, University of Florida

Power system capacity needs, in terms of generation, transmission, distribution Advisors/Committee Members: SAHNI,SARTAJ KUMAR (committee chair), KAHVECI,TAMER (committee member), RANKA,SANJAY (committee member), RICHARD,JEAN-PHILIPPE P (committee member).

Subjects/Keywords: Algorithms; Approximation; Datasets; Demand schedule; Electric vehicles; Experimental results; Federal preemption; Heuristics; Rectangles; Scheduling; algorithms  – approximation  – smart-grid

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APA (6th Edition):

Ranjan, A. (2016). Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0049579

Chicago Manual of Style (16th Edition):

Ranjan, Anshu. “Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids.” 2016. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0049579.

MLA Handbook (7th Edition):

Ranjan, Anshu. “Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids.” 2016. Web. 07 May 2021.

Vancouver:

Ranjan A. Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0049579.

Council of Science Editors:

Ranjan A. Approximation Algorithms for Offline Scheduling of Power Loads in Smart Grids. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0049579


University of Florida

20. Mishra, Subhankar. Cyber-security in Smart Grid.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2016, University of Florida

Subjects/Keywords: attack; cyber-security; cyberattack; grid; network; powergrid; smartgrid

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APA (6th Edition):

Mishra, S. (2016). Cyber-security in Smart Grid. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0050305

Chicago Manual of Style (16th Edition):

Mishra, Subhankar. “Cyber-security in Smart Grid.” 2016. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0050305.

MLA Handbook (7th Edition):

Mishra, Subhankar. “Cyber-security in Smart Grid.” 2016. Web. 07 May 2021.

Vancouver:

Mishra S. Cyber-security in Smart Grid. [Internet] [Doctoral dissertation]. University of Florida; 2016. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0050305.

Council of Science Editors:

Mishra S. Cyber-security in Smart Grid. [Doctoral Dissertation]. University of Florida; 2016. Available from: https://ufdc.ufl.edu/UFE0050305


University of Florida

21. Gokturk, Ersen. An Alternative Approach for Synthesizing Polyglycolic Acid and Its Copolymers from C1 Feedstocks.

Degree: PhD, Chemistry, 2014, University of Florida

Subjects/Keywords: Catalysts; Copolymerization; Epoxy compounds; Melting; Molecular weight; Oxides; Polymerization; Polymers; Recording instruments; Solvents; carbonmonoxide; polyglycolicacid; trioxane

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

APA (6th Edition):

Gokturk, E. (2014). An Alternative Approach for Synthesizing Polyglycolic Acid and Its Copolymers from C1 Feedstocks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0046674

Chicago Manual of Style (16th Edition):

Gokturk, Ersen. “An Alternative Approach for Synthesizing Polyglycolic Acid and Its Copolymers from C1 Feedstocks.” 2014. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0046674.

MLA Handbook (7th Edition):

Gokturk, Ersen. “An Alternative Approach for Synthesizing Polyglycolic Acid and Its Copolymers from C1 Feedstocks.” 2014. Web. 07 May 2021.

Vancouver:

Gokturk E. An Alternative Approach for Synthesizing Polyglycolic Acid and Its Copolymers from C1 Feedstocks. [Internet] [Doctoral dissertation]. University of Florida; 2014. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0046674.

Council of Science Editors:

Gokturk E. An Alternative Approach for Synthesizing Polyglycolic Acid and Its Copolymers from C1 Feedstocks. [Doctoral Dissertation]. University of Florida; 2014. Available from: https://ufdc.ufl.edu/UFE0046674


University of Florida

22. Chen, Lixia. Statistical Approximations of Database Queries with Confidence Intervals.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2011, University of Florida

 Explosive data growth in databases presents challenges of fast query processing. Computation of exact values of complex queries over large databases can take a long… (more)

Subjects/Keywords: Aggregation; Approximation; Confidence interval; Databases; Error rates; Estimators; Histograms; Probabilistic modeling; Random variables; Statistical discrepancies; aggregation  – approximation  – databases  – prababilistic  – statistical

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

APA (6th Edition):

Chen, L. (2011). Statistical Approximations of Database Queries with Confidence Intervals. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0043509

Chicago Manual of Style (16th Edition):

Chen, Lixia. “Statistical Approximations of Database Queries with Confidence Intervals.” 2011. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0043509.

MLA Handbook (7th Edition):

Chen, Lixia. “Statistical Approximations of Database Queries with Confidence Intervals.” 2011. Web. 07 May 2021.

Vancouver:

Chen L. Statistical Approximations of Database Queries with Confidence Intervals. [Internet] [Doctoral dissertation]. University of Florida; 2011. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0043509.

Council of Science Editors:

Chen L. Statistical Approximations of Database Queries with Confidence Intervals. [Doctoral Dissertation]. University of Florida; 2011. Available from: https://ufdc.ufl.edu/UFE0043509


University of Florida

23. Zhang, Xuping. Automatic Feature Learning and Parameter Estimation for Hidden Markov Models Using MCE and Gibbs Sampling.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2009, University of Florida

 Hidden Markov models (HMMs) are useful tools for landmine detection using Ground Penetrating Radar (GPR), as well as many other applications. The performance of HMMs… (more)

Subjects/Keywords: Datasets; Feature extraction; Land mines; Learning; Learning modalities; Machine learning; Markov models; Neural networks; Parametric models; Principal components analysis; bayesian, classfication, convolution, feature, gaussian, gibbs, hmm, learning, mcmc, morphological, owa, sampling

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APA (6th Edition):

Zhang, X. (2009). Automatic Feature Learning and Parameter Estimation for Hidden Markov Models Using MCE and Gibbs Sampling. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0041157

Chicago Manual of Style (16th Edition):

Zhang, Xuping. “Automatic Feature Learning and Parameter Estimation for Hidden Markov Models Using MCE and Gibbs Sampling.” 2009. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0041157.

MLA Handbook (7th Edition):

Zhang, Xuping. “Automatic Feature Learning and Parameter Estimation for Hidden Markov Models Using MCE and Gibbs Sampling.” 2009. Web. 07 May 2021.

Vancouver:

Zhang X. Automatic Feature Learning and Parameter Estimation for Hidden Markov Models Using MCE and Gibbs Sampling. [Internet] [Doctoral dissertation]. University of Florida; 2009. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0041157.

Council of Science Editors:

Zhang X. Automatic Feature Learning and Parameter Estimation for Hidden Markov Models Using MCE and Gibbs Sampling. [Doctoral Dissertation]. University of Florida; 2009. Available from: https://ufdc.ufl.edu/UFE0041157


University of Florida

24. Praing, Reasey. Moving Balloon Algebra Design, Implementation, and Database Integration of a Spatiotemporal Data Model for Historical and Predictive Moving Objects.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2008, University of Florida

 Spatiotemporal databases deal with geometries changing over time. Recently, moving objects like moving points and moving regions have been the focus of research. They represent… (more)

Subjects/Keywords: Algebra; Balloons; Boundary points; Data models; Data types; Databases; Hurricanes; Matrices; Modeling; Spatial data; balloon, database, evolution, historical, model, movement, moving, predicates, predictive, spatiotemporal

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APA (6th Edition):

Praing, R. (2008). Moving Balloon Algebra Design, Implementation, and Database Integration of a Spatiotemporal Data Model for Historical and Predictive Moving Objects. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0022558

Chicago Manual of Style (16th Edition):

Praing, Reasey. “Moving Balloon Algebra Design, Implementation, and Database Integration of a Spatiotemporal Data Model for Historical and Predictive Moving Objects.” 2008. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0022558.

MLA Handbook (7th Edition):

Praing, Reasey. “Moving Balloon Algebra Design, Implementation, and Database Integration of a Spatiotemporal Data Model for Historical and Predictive Moving Objects.” 2008. Web. 07 May 2021.

Vancouver:

Praing R. Moving Balloon Algebra Design, Implementation, and Database Integration of a Spatiotemporal Data Model for Historical and Predictive Moving Objects. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0022558.

Council of Science Editors:

Praing R. Moving Balloon Algebra Design, Implementation, and Database Integration of a Spatiotemporal Data Model for Historical and Predictive Moving Objects. [Doctoral Dissertation]. University of Florida; 2008. Available from: https://ufdc.ufl.edu/UFE0022558


University of Florida

25. Tiwari, Ravi. Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2010, University of Florida

 Majority of network applications designed on top of Wireless Sensor Networks (WSNs) involve detection and tracking of some physical phenomena. Additionally, they utilize some primitive… (more)

Subjects/Keywords: Aggregation; Algorithms; Approximation; Broadcasting; Broadcasting industry; Hexagons; Octahedrons; Scheduling; Sensors; Tessellations; approximation, broadcast, centralized, combinatorial, interference, localized, optimization, phenomena, scheduling

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APA (6th Edition):

Tiwari, R. (2010). Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0041927

Chicago Manual of Style (16th Edition):

Tiwari, Ravi. “Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks.” 2010. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0041927.

MLA Handbook (7th Edition):

Tiwari, Ravi. “Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks.” 2010. Web. 07 May 2021.

Vancouver:

Tiwari R. Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0041927.

Council of Science Editors:

Tiwari R. Broadcast Scheduling and Detection of Dynamic Phenomena in Wireless Sensor Networks. [Doctoral Dissertation]. University of Florida; 2010. Available from: https://ufdc.ufl.edu/UFE0041927


University of Florida

26. Willis, Homer. Use of Mutual Information to Predict Protein-Protein Interactions.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2010, University of Florida

 USE OF MUTATION EVENTS AND MUTUAL INFORMATION TO PREDICT PROTEIN-PROTEIN INTERACTIONS By Homer Floyd Willis IV All biological functions in the living cell involve the… (more)

Subjects/Keywords: Amino acids; DNA; Genetic mutation; Genomes; HIV; Ligands; Modeling; Nuclear receptors; Phylogenetics; Topology; co, dna, hcv, influenza, mutual, nuclear, protein

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APA (6th Edition):

Willis, H. (2010). Use of Mutual Information to Predict Protein-Protein Interactions. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0021737

Chicago Manual of Style (16th Edition):

Willis, Homer. “Use of Mutual Information to Predict Protein-Protein Interactions.” 2010. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0021737.

MLA Handbook (7th Edition):

Willis, Homer. “Use of Mutual Information to Predict Protein-Protein Interactions.” 2010. Web. 07 May 2021.

Vancouver:

Willis H. Use of Mutual Information to Predict Protein-Protein Interactions. [Internet] [Doctoral dissertation]. University of Florida; 2010. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0021737.

Council of Science Editors:

Willis H. Use of Mutual Information to Predict Protein-Protein Interactions. [Doctoral Dissertation]. University of Florida; 2010. Available from: https://ufdc.ufl.edu/UFE0021737


University of Florida

27. Gates, Ami. State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2008, University of Florida

 While the complexity of biological systems often appears intractable, living organisms possess an underlying correlation derived from their hierarchical association. This notion enables methods such… (more)

Subjects/Keywords: Amino acids; Blasts; Databases; Datasets; Machine learning; Mathematical vectors; Matrices; Neural networks; Proteins; Sequence alignment; machine, prediction, protein, secondary, structure, support, vector

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APA (6th Edition):

Gates, A. (2008). State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0023862

Chicago Manual of Style (16th Edition):

Gates, Ami. “State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method.” 2008. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0023862.

MLA Handbook (7th Edition):

Gates, Ami. “State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method.” 2008. Web. 07 May 2021.

Vancouver:

Gates A. State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0023862.

Council of Science Editors:

Gates A. State-of-the-Art Protein Secondary-Structure Prediction Using a Novel Two-Stage Alignment and Machine-Learning Method. [Doctoral Dissertation]. University of Florida; 2008. Available from: https://ufdc.ufl.edu/UFE0023862


University of Florida

28. Li, Xuehui. Identification and Application of Repetitive Biological Sequences.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2007, University of Florida

 Biological sequences are rich in repeats. For example, more than 50% of the human genome consists of repeats and approximately one-quarter of the amino acids… (more)

Subjects/Keywords: Algorithms; Blasts; Chromosomes; Databases; Datasets; False positive errors; Genomes; Input output; Libraries; Transposons; blast, fitness, lcrs, low, repeats, the, transposons

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APA (6th Edition):

Li, X. (2007). Identification and Application of Repetitive Biological Sequences. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0021421

Chicago Manual of Style (16th Edition):

Li, Xuehui. “Identification and Application of Repetitive Biological Sequences.” 2007. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0021421.

MLA Handbook (7th Edition):

Li, Xuehui. “Identification and Application of Repetitive Biological Sequences.” 2007. Web. 07 May 2021.

Vancouver:

Li X. Identification and Application of Repetitive Biological Sequences. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0021421.

Council of Science Editors:

Li X. Identification and Application of Repetitive Biological Sequences. [Doctoral Dissertation]. University of Florida; 2007. Available from: https://ufdc.ufl.edu/UFE0021421


University of Florida

29. Wu, Mingxi. Statistical Methods for Fast Anomaly Detection.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2008, University of Florida

 In general, the task of detecting anomalies is to find the most anomalous points or subset of points from a given data set according to… (more)

Subjects/Keywords: Databases; Datasets; Detection; Hospitals; Outliers; Pruning; Rectangles; Statistical models; Statistics; Tessellations; anomaly, extreme, outlier, randomized, sampling, spatial

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

APA (6th Edition):

Wu, M. (2008). Statistical Methods for Fast Anomaly Detection. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0022572

Chicago Manual of Style (16th Edition):

Wu, Mingxi. “Statistical Methods for Fast Anomaly Detection.” 2008. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0022572.

MLA Handbook (7th Edition):

Wu, Mingxi. “Statistical Methods for Fast Anomaly Detection.” 2008. Web. 07 May 2021.

Vancouver:

Wu M. Statistical Methods for Fast Anomaly Detection. [Internet] [Doctoral dissertation]. University of Florida; 2008. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0022572.

Council of Science Editors:

Wu M. Statistical Methods for Fast Anomaly Detection. [Doctoral Dissertation]. University of Florida; 2008. Available from: https://ufdc.ufl.edu/UFE0022572


University of Florida

30. Martinez, Alexandra Maria. BIODQ A Model for Data Quality Estimation and Management in Biological Databases.

Degree: PhD, Computer Engineering - Computer and Information Science and Engineering, 2007, University of Florida

 We present BIODQ, a model for estimating and managing the quality of biological data in genomics repositories. BIODQ uses our new Quality Estimation Model (QEM)… (more)

Subjects/Keywords: Data models; Data quality; Databases; Datasets; Genomics; Identifiers; Metadata; Quality analysis; Recordings; XML; architecture, biodq, biological, biologists, biology, classification, data, databases, dimensions, estimation, genbank, hammer, integration, management, martinez, measures, metadata, model, ncbi, prototype, quality, refseq, repositories, study

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APA (6th Edition):

Martinez, A. M. (2007). BIODQ A Model for Data Quality Estimation and Management in Biological Databases. (Doctoral Dissertation). University of Florida. Retrieved from https://ufdc.ufl.edu/UFE0021491

Chicago Manual of Style (16th Edition):

Martinez, Alexandra Maria. “BIODQ A Model for Data Quality Estimation and Management in Biological Databases.” 2007. Doctoral Dissertation, University of Florida. Accessed May 07, 2021. https://ufdc.ufl.edu/UFE0021491.

MLA Handbook (7th Edition):

Martinez, Alexandra Maria. “BIODQ A Model for Data Quality Estimation and Management in Biological Databases.” 2007. Web. 07 May 2021.

Vancouver:

Martinez AM. BIODQ A Model for Data Quality Estimation and Management in Biological Databases. [Internet] [Doctoral dissertation]. University of Florida; 2007. [cited 2021 May 07]. Available from: https://ufdc.ufl.edu/UFE0021491.

Council of Science Editors:

Martinez AM. BIODQ A Model for Data Quality Estimation and Management in Biological Databases. [Doctoral Dissertation]. University of Florida; 2007. Available from: https://ufdc.ufl.edu/UFE0021491

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