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You searched for +publisher:"Georgia State University" +contributor:("Rajshekhar Sunderraman"). Showing records 1 – 30 of 52 total matches.

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1. Jayakumar, Badrinath. Handling Inconsistency in Knowledge Bases.

Degree: PhD, Computer Science, 2017, Georgia State University

  Real-world automated reasoning systems, based on classical logic, face logically inconsistent information, and they must cope with it. It is onerous to develop such… (more)

Subjects/Keywords: Paraconsistent logics; Paraconsistent Relations; Description logic; Semantic Web; Description Logic Programs

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APA (6th Edition):

Jayakumar, B. (2017). Handling Inconsistency in Knowledge Bases. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/120

Chicago Manual of Style (16th Edition):

Jayakumar, Badrinath. “Handling Inconsistency in Knowledge Bases.” 2017. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/120.

MLA Handbook (7th Edition):

Jayakumar, Badrinath. “Handling Inconsistency in Knowledge Bases.” 2017. Web. 16 Jun 2019.

Vancouver:

Jayakumar B. Handling Inconsistency in Knowledge Bases. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/120.

Council of Science Editors:

Jayakumar B. Handling Inconsistency in Knowledge Bases. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/cs_diss/120


Georgia State University

2. Jena, Bismita. High Performance Frequent Subgraph Mining on Transactional Datasets.

Degree: PhD, Computer Science, 2019, Georgia State University

  Graph data mining has been a crucial as well as inevitable area of research. Large amounts of graph data are produced in many areas,… (more)

Subjects/Keywords: Frequent Subgraphs; Isomorphism; Spark; Scala; Hadoop MapReduce; DB4O

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APA (6th Edition):

Jena, B. (2019). High Performance Frequent Subgraph Mining on Transactional Datasets. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/147

Chicago Manual of Style (16th Edition):

Jena, Bismita. “High Performance Frequent Subgraph Mining on Transactional Datasets.” 2019. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/147.

MLA Handbook (7th Edition):

Jena, Bismita. “High Performance Frequent Subgraph Mining on Transactional Datasets.” 2019. Web. 16 Jun 2019.

Vancouver:

Jena B. High Performance Frequent Subgraph Mining on Transactional Datasets. [Internet] [Doctoral dissertation]. Georgia State University; 2019. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/147.

Council of Science Editors:

Jena B. High Performance Frequent Subgraph Mining on Transactional Datasets. [Doctoral Dissertation]. Georgia State University; 2019. Available from: https://scholarworks.gsu.edu/cs_diss/147


Georgia State University

3. Sindhu, Viney. Exploring Parallel Efficiency and Synergy for Max-P Region Problem Using Python.

Degree: MS, Computer Science, 2018, Georgia State University

  Given a set of n areas spatially covering a geographical zone such as a province, forming contiguous regions from homogeneous neighboring areas satisfying a… (more)

Subjects/Keywords: Clustering; Geospatial; Homogeneous Regions; Multiprocessing; Optimization

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APA (6th Edition):

Sindhu, V. (2018). Exploring Parallel Efficiency and Synergy for Max-P Region Problem Using Python. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_theses/88

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

Chicago Manual of Style (16th Edition):

Sindhu, Viney. “Exploring Parallel Efficiency and Synergy for Max-P Region Problem Using Python.” 2018. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_theses/88.

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

MLA Handbook (7th Edition):

Sindhu, Viney. “Exploring Parallel Efficiency and Synergy for Max-P Region Problem Using Python.” 2018. Web. 16 Jun 2019.

Vancouver:

Sindhu V. Exploring Parallel Efficiency and Synergy for Max-P Region Problem Using Python. [Internet] [Thesis]. Georgia State University; 2018. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_theses/88.

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

Council of Science Editors:

Sindhu V. Exploring Parallel Efficiency and Synergy for Max-P Region Problem Using Python. [Thesis]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/cs_theses/88

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


Georgia State University

4. Viswanath, Navin. Inconsistency and Incompleteness in Relational Databases and Logic Programs.

Degree: PhD, Computer Science, 2009, Georgia State University

 The aim of this thesis is to study the role played by negation in databases and to develop data models that can handle inconsistent and… (more)

Subjects/Keywords: Nonmonotonic reasoning; Negation; Logic programming; Inconsistency; Incompleteness; Computer Sciences

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APA (6th Edition):

Viswanath, N. (2009). Inconsistency and Incompleteness in Relational Databases and Logic Programs. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/38

Chicago Manual of Style (16th Edition):

Viswanath, Navin. “Inconsistency and Incompleteness in Relational Databases and Logic Programs.” 2009. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/38.

MLA Handbook (7th Edition):

Viswanath, Navin. “Inconsistency and Incompleteness in Relational Databases and Logic Programs.” 2009. Web. 16 Jun 2019.

Vancouver:

Viswanath N. Inconsistency and Incompleteness in Relational Databases and Logic Programs. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/38.

Council of Science Editors:

Viswanath N. Inconsistency and Incompleteness in Relational Databases and Logic Programs. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/38

5. Guo, Xuan. Searching Genome-wide Disease Association Through SNP Data.

Degree: PhD, Computer Science, 2015, Georgia State University

  Taking the advantage of the high-throughput Single Nucleotide Polymorphism (SNP) genotyping technology, Genome-Wide Association Studies (GWASs) are regarded holding promise for unravelling complex relationships… (more)

Subjects/Keywords: Algorithm; GWAS; SNP analysis; epistasis; clustering; Bayesian Theory

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APA (6th Edition):

Guo, X. (2015). Searching Genome-wide Disease Association Through SNP Data. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/101

Chicago Manual of Style (16th Edition):

Guo, Xuan. “Searching Genome-wide Disease Association Through SNP Data.” 2015. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/101.

MLA Handbook (7th Edition):

Guo, Xuan. “Searching Genome-wide Disease Association Through SNP Data.” 2015. Web. 16 Jun 2019.

Vancouver:

Guo X. Searching Genome-wide Disease Association Through SNP Data. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/101.

Council of Science Editors:

Guo X. Searching Genome-wide Disease Association Through SNP Data. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/cs_diss/101

6. Temate Tiagueu, Yvette Charly B. Methods for Differential Analysis of Gene Expression and Metabolic Pathway Activity.

Degree: PhD, Computer Science, 2016, Georgia State University

  RNA-Seq is an increasingly popular approach to transcriptome profiling that uses the capabilities of next generation sequencing technologies and provides better measurement of levels… (more)

Subjects/Keywords: Bootstrapping algorithm; Next generation sequencing; Gene expression; RNA-Seq data; Expectation maximization; Graph analysis; Metabolic pathway activity level; Metabolic pathways; Metabolic pathway abundance; KEGG; Differential gene expression analysis

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APA (6th Edition):

Temate Tiagueu, Y. C. B. (2016). Methods for Differential Analysis of Gene Expression and Metabolic Pathway Activity. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/102

Chicago Manual of Style (16th Edition):

Temate Tiagueu, Yvette Charly B. “Methods for Differential Analysis of Gene Expression and Metabolic Pathway Activity.” 2016. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/102.

MLA Handbook (7th Edition):

Temate Tiagueu, Yvette Charly B. “Methods for Differential Analysis of Gene Expression and Metabolic Pathway Activity.” 2016. Web. 16 Jun 2019.

Vancouver:

Temate Tiagueu YCB. Methods for Differential Analysis of Gene Expression and Metabolic Pathway Activity. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/102.

Council of Science Editors:

Temate Tiagueu YCB. Methods for Differential Analysis of Gene Expression and Metabolic Pathway Activity. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/cs_diss/102


Georgia State University

7. Wang, Zhibo. Machine Learning Methods for Finding Textual Features of Depression from Publications.

Degree: PhD, Computer Science, 2017, Georgia State University

  Depression is a common but serious mood disorder. In 2015, WHO reports about 322 million people were living with some form of depression, which… (more)

Subjects/Keywords: Information retrieval; Text representation; Outlier document detection; Textual feature extraction; Word2Vec; Latent Dirichlet allocation

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APA (6th Edition):

Wang, Z. (2017). Machine Learning Methods for Finding Textual Features of Depression from Publications. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/132

Chicago Manual of Style (16th Edition):

Wang, Zhibo. “Machine Learning Methods for Finding Textual Features of Depression from Publications.” 2017. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/132.

MLA Handbook (7th Edition):

Wang, Zhibo. “Machine Learning Methods for Finding Textual Features of Depression from Publications.” 2017. Web. 16 Jun 2019.

Vancouver:

Wang Z. Machine Learning Methods for Finding Textual Features of Depression from Publications. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/132.

Council of Science Editors:

Wang Z. Machine Learning Methods for Finding Textual Features of Depression from Publications. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/cs_diss/132


Georgia State University

8. Kempton, Dustin J. Sparse Coding for Event Tracking and Image Retrieval.

Degree: PhD, Computer Science, 2018, Georgia State University

  Comparing regions of images is a fundamental task in both similarity based object tracking as well as retrieval of images from image datasets, where… (more)

Subjects/Keywords: sparse coding; event tracking; image retrieval

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APA (6th Edition):

Kempton, D. J. (2018). Sparse Coding for Event Tracking and Image Retrieval. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/139

Chicago Manual of Style (16th Edition):

Kempton, Dustin J. “Sparse Coding for Event Tracking and Image Retrieval.” 2018. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/139.

MLA Handbook (7th Edition):

Kempton, Dustin J. “Sparse Coding for Event Tracking and Image Retrieval.” 2018. Web. 16 Jun 2019.

Vancouver:

Kempton DJ. Sparse Coding for Event Tracking and Image Retrieval. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/139.

Council of Science Editors:

Kempton DJ. Sparse Coding for Event Tracking and Image Retrieval. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/cs_diss/139


Georgia State University

9. Westbrooks, Kelly Anthony. Biological Inference using Flow Networks.

Degree: PhD, Computer Science, 2009, Georgia State University

 Many bioinformatics problems are inference problems: Given partial or incomplete information about something, use that information to infer the missing or unknown data. This work… (more)

Subjects/Keywords: Quasispecies; Flow networks; HCV; Computer Sciences

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APA (6th Edition):

Westbrooks, K. A. (2009). Biological Inference using Flow Networks. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/36

Chicago Manual of Style (16th Edition):

Westbrooks, Kelly Anthony. “Biological Inference using Flow Networks.” 2009. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/36.

MLA Handbook (7th Edition):

Westbrooks, Kelly Anthony. “Biological Inference using Flow Networks.” 2009. Web. 16 Jun 2019.

Vancouver:

Westbrooks KA. Biological Inference using Flow Networks. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/36.

Council of Science Editors:

Westbrooks KA. Biological Inference using Flow Networks. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/36


Georgia State University

10. Aiken, John M. Transforming High School Physics With Modeling And Computation.

Degree: MS, Physics and Astronomy, 2013, Georgia State University

  The Engage to Excel (PCAST) report, the National Research Council's Framework for K-12 Science Education, and the Next Generation Science Standards all call for… (more)

Subjects/Keywords: Computational Modeling; Physics; Education

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APA (6th Edition):

Aiken, J. M. (2013). Transforming High School Physics With Modeling And Computation. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/phy_astr_theses/18

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

Chicago Manual of Style (16th Edition):

Aiken, John M. “Transforming High School Physics With Modeling And Computation.” 2013. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/phy_astr_theses/18.

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

MLA Handbook (7th Edition):

Aiken, John M. “Transforming High School Physics With Modeling And Computation.” 2013. Web. 16 Jun 2019.

Vancouver:

Aiken JM. Transforming High School Physics With Modeling And Computation. [Internet] [Thesis]. Georgia State University; 2013. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/phy_astr_theses/18.

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

Council of Science Editors:

Aiken JM. Transforming High School Physics With Modeling And Computation. [Thesis]. Georgia State University; 2013. Available from: https://scholarworks.gsu.edu/phy_astr_theses/18

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


Georgia State University

11. Aghajarian, Danial. A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing.

Degree: PhD, Computer Science, 2018, Georgia State University

  The frequently employed spatial join processing over two large layers of polygonal datasets to detect cross-layer polygon pairs (CPP) satisfying a join-predicate faces challenges… (more)

Subjects/Keywords: Spatial join processing; GPU parallel algorithm; Colocation pattern mining; Distributed heterogeneous systems; Load balancing; ILP optimization

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APA (6th Edition):

Aghajarian, D. (2018). A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/144

Chicago Manual of Style (16th Edition):

Aghajarian, Danial. “A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing.” 2018. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/144.

MLA Handbook (7th Edition):

Aghajarian, Danial. “A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing.” 2018. Web. 16 Jun 2019.

Vancouver:

Aghajarian D. A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing. [Internet] [Doctoral dissertation]. Georgia State University; 2018. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/144.

Council of Science Editors:

Aghajarian D. A Heterogeneous High Performance Computing Framework For Ill-Structured Spatial Join Processing. [Doctoral Dissertation]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/cs_diss/144


Georgia State University

12. Khabya, Komal. A Novel Stable Model Computation Approach for General Dedcutive Databases.

Degree: MS, Computer Science, 2010, Georgia State University

 The aim of this thesis is to develop faster method for stable model computation of non-stratified logic programs and study its efficiency. It focuses mainly… (more)

Subjects/Keywords: Logic programming; Stable model; Fitting’s model

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APA (6th Edition):

Khabya, K. (2010). A Novel Stable Model Computation Approach for General Dedcutive Databases. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_theses/68

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

Chicago Manual of Style (16th Edition):

Khabya, Komal. “A Novel Stable Model Computation Approach for General Dedcutive Databases.” 2010. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_theses/68.

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

MLA Handbook (7th Edition):

Khabya, Komal. “A Novel Stable Model Computation Approach for General Dedcutive Databases.” 2010. Web. 16 Jun 2019.

Vancouver:

Khabya K. A Novel Stable Model Computation Approach for General Dedcutive Databases. [Internet] [Thesis]. Georgia State University; 2010. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_theses/68.

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

Council of Science Editors:

Khabya K. A Novel Stable Model Computation Approach for General Dedcutive Databases. [Thesis]. Georgia State University; 2010. Available from: https://scholarworks.gsu.edu/cs_theses/68

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


Georgia State University

13. Yang, Hong. Modeling and Querying Graph Data.

Degree: PhD, Computer Science, 2009, Georgia State University

 Databases are used in many applications, spanning virtually the entire range of data processing services industry. The data in many database applications can be most… (more)

Subjects/Keywords: Object database; G-algebra; Graph data model; Graph query language; Computer Sciences

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

APA (6th Edition):

Yang, H. (2009). Modeling and Querying Graph Data. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/34

Chicago Manual of Style (16th Edition):

Yang, Hong. “Modeling and Querying Graph Data.” 2009. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/34.

MLA Handbook (7th Edition):

Yang, Hong. “Modeling and Querying Graph Data.” 2009. Web. 16 Jun 2019.

Vancouver:

Yang H. Modeling and Querying Graph Data. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/34.

Council of Science Editors:

Yang H. Modeling and Querying Graph Data. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/34

14. Balaji, Janani. Distributed Graph Storage And Querying System.

Degree: PhD, Computer Science, 2016, Georgia State University

  Graph databases offer an efficient way to store and access inter-connected data. However, to query large graphs that no longer fit in memory, it… (more)

Subjects/Keywords: Graph Databases; Distributed Graph Databases; Distributed Graph Query Processing; Spark

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APA (6th Edition):

Balaji, J. (2016). Distributed Graph Storage And Querying System. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/110

Chicago Manual of Style (16th Edition):

Balaji, Janani. “Distributed Graph Storage And Querying System.” 2016. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/110.

MLA Handbook (7th Edition):

Balaji, Janani. “Distributed Graph Storage And Querying System.” 2016. Web. 16 Jun 2019.

Vancouver:

Balaji J. Distributed Graph Storage And Querying System. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/110.

Council of Science Editors:

Balaji J. Distributed Graph Storage And Querying System. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/cs_diss/110


Georgia State University

15. Lu, Yunmei. Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis.

Degree: PhD, Computer Science, 2016, Georgia State University

  To build reliable prediction models and identify useful patterns, assembling data sets from databases maintained by different sources such as hospitals becomes increasingly common;… (more)

Subjects/Keywords: Privacy preserving; Distributed data mining; Classification; Feature selection; Support Vector Machine; Kernel matrix approximation and decomposition

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APA (6th Edition):

Lu, Y. (2016). Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/119

Chicago Manual of Style (16th Edition):

Lu, Yunmei. “Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis.” 2016. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/119.

MLA Handbook (7th Edition):

Lu, Yunmei. “Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis.” 2016. Web. 16 Jun 2019.

Vancouver:

Lu Y. Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis. [Internet] [Doctoral dissertation]. Georgia State University; 2016. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/119.

Council of Science Editors:

Lu Y. Privacy Preserving Data Mining For Horizontally Distributed Medical Data Analysis. [Doctoral Dissertation]. Georgia State University; 2016. Available from: https://scholarworks.gsu.edu/cs_diss/119


Georgia State University

16. Durham, Erin-Elizabeth A. Integrating Fuzzy Decisioning Models With Relational Database Constructs.

Degree: PhD, Computer Science, 2014, Georgia State University

  Human learning and classification is a nebulous area in computer science. Classic decisioning problems can be solved given enough time and computational power, but… (more)

Subjects/Keywords: Database; SQL; Big Data; Query optimization; Fuzzy; Classification

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APA (6th Edition):

Durham, E. A. (2014). Integrating Fuzzy Decisioning Models With Relational Database Constructs. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/90

Chicago Manual of Style (16th Edition):

Durham, Erin-Elizabeth A. “Integrating Fuzzy Decisioning Models With Relational Database Constructs.” 2014. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/90.

MLA Handbook (7th Edition):

Durham, Erin-Elizabeth A. “Integrating Fuzzy Decisioning Models With Relational Database Constructs.” 2014. Web. 16 Jun 2019.

Vancouver:

Durham EA. Integrating Fuzzy Decisioning Models With Relational Database Constructs. [Internet] [Doctoral dissertation]. Georgia State University; 2014. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/90.

Council of Science Editors:

Durham EA. Integrating Fuzzy Decisioning Models With Relational Database Constructs. [Doctoral Dissertation]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/cs_diss/90


Georgia State University

17. Ding, Zejin. Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics.

Degree: PhD, Computer Science, 2011, Georgia State University

  In this dissertation, the problem of learning from highly imbalanced data is studied. Imbalance data learning is of great importance and challenge in many… (more)

Subjects/Keywords: Machine learning; Classification; Imbalanced data learning; Diversified ensemble; Active learning; Artificial data generation; Bioinformatics; Protein methylation

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APA (6th Edition):

Ding, Z. (2011). Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/60

Chicago Manual of Style (16th Edition):

Ding, Zejin. “Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics.” 2011. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/60.

MLA Handbook (7th Edition):

Ding, Zejin. “Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics.” 2011. Web. 16 Jun 2019.

Vancouver:

Ding Z. Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics. [Internet] [Doctoral dissertation]. Georgia State University; 2011. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/60.

Council of Science Editors:

Ding Z. Diversified Ensemble Classifiers for Highly Imbalanced Data Learning and their Application in Bioinformatics. [Doctoral Dissertation]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/cs_diss/60


Georgia State University

18. Dhawan, Akshaye. Distributed Algorithms for Maximizing the Lifetime of Wireless Sensor Networks.

Degree: PhD, Computer Science, 2009, Georgia State University

 Wireless sensor networks (WSNs) are emerging as a key enabling technology for applications domains such as military, homeland security, and environment. However, a major constraint… (more)

Subjects/Keywords: Wireless sensor networks; Scheduling; Lifetime; Target coverage; Computer Sciences

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APA (6th Edition):

Dhawan, A. (2009). Distributed Algorithms for Maximizing the Lifetime of Wireless Sensor Networks. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/50

Chicago Manual of Style (16th Edition):

Dhawan, Akshaye. “Distributed Algorithms for Maximizing the Lifetime of Wireless Sensor Networks.” 2009. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/50.

MLA Handbook (7th Edition):

Dhawan, Akshaye. “Distributed Algorithms for Maximizing the Lifetime of Wireless Sensor Networks.” 2009. Web. 16 Jun 2019.

Vancouver:

Dhawan A. Distributed Algorithms for Maximizing the Lifetime of Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/50.

Council of Science Editors:

Dhawan A. Distributed Algorithms for Maximizing the Lifetime of Wireless Sensor Networks. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/50

19. Sevindik Mentes, Hilal. Design and Development of a Mineral Exploration Ontology.

Degree: MS, Geosciences, 2012, Georgia State University

  In this thesis, an ontology for the mineral exploration domain is designed and developed applying the Protégé ontology editor. The MinExOnt ontology includes a… (more)

Subjects/Keywords: Ontology development; OWL-Ontology Web Language; OWL visualization; Domain; Common controlled vocabulary; Knowledge sharing; Mineral exploration; Protégé; Knoodl

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APA (6th Edition):

Sevindik Mentes, H. (2012). Design and Development of a Mineral Exploration Ontology. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/geosciences_theses/49

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

Chicago Manual of Style (16th Edition):

Sevindik Mentes, Hilal. “Design and Development of a Mineral Exploration Ontology.” 2012. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/geosciences_theses/49.

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

MLA Handbook (7th Edition):

Sevindik Mentes, Hilal. “Design and Development of a Mineral Exploration Ontology.” 2012. Web. 16 Jun 2019.

Vancouver:

Sevindik Mentes H. Design and Development of a Mineral Exploration Ontology. [Internet] [Thesis]. Georgia State University; 2012. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/geosciences_theses/49.

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

Council of Science Editors:

Sevindik Mentes H. Design and Development of a Mineral Exploration Ontology. [Thesis]. Georgia State University; 2012. Available from: https://scholarworks.gsu.edu/geosciences_theses/49

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

20. Karmakar, Saurav. Syntactic and Semantic Analysis and Visualization of Unstructured English Texts.

Degree: PhD, Computer Science, 2011, Georgia State University

  People have complex thoughts, and they often express their thoughts with complex sentences using natural languages. This complexity may facilitate efficient communications among the… (more)

Subjects/Keywords: Readability; Complexity depth of field; Grammatical structure; Visualization; Web mining; Web information retrieval; Recommendation; Semantic similarity; Word sense disambiguation; Natural Language Processing; Computer Sciences

…Department and Brain and Behavior Program at Georgia State University. In addition I would like to… …work with Dr. Ying Zhu. Special thanks go to Dr. Rajshekhar Sunderraman. He has helped me so… 

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APA (6th Edition):

Karmakar, S. (2011). Syntactic and Semantic Analysis and Visualization of Unstructured English Texts. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/61

Chicago Manual of Style (16th Edition):

Karmakar, Saurav. “Syntactic and Semantic Analysis and Visualization of Unstructured English Texts.” 2011. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/61.

MLA Handbook (7th Edition):

Karmakar, Saurav. “Syntactic and Semantic Analysis and Visualization of Unstructured English Texts.” 2011. Web. 16 Jun 2019.

Vancouver:

Karmakar S. Syntactic and Semantic Analysis and Visualization of Unstructured English Texts. [Internet] [Doctoral dissertation]. Georgia State University; 2011. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/61.

Council of Science Editors:

Karmakar S. Syntactic and Semantic Analysis and Visualization of Unstructured English Texts. [Doctoral Dissertation]. Georgia State University; 2011. Available from: https://scholarworks.gsu.edu/cs_diss/61

21. Aydin, Berkay. Discovery of Spatiotemporal Event Sequences.

Degree: PhD, Computer Science, 2017, Georgia State University

  Finding frequent patterns plays a vital role in many analytics tasks such as finding itemsets, associations, correlations, and sequences. In recent decades, spatiotemporal frequent… (more)

Subjects/Keywords: Spatiotemporal; Event; Sequence; Mining; Discovery

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APA (6th Edition):

Aydin, B. (2017). Discovery of Spatiotemporal Event Sequences. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/122

Chicago Manual of Style (16th Edition):

Aydin, Berkay. “Discovery of Spatiotemporal Event Sequences.” 2017. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/122.

MLA Handbook (7th Edition):

Aydin, Berkay. “Discovery of Spatiotemporal Event Sequences.” 2017. Web. 16 Jun 2019.

Vancouver:

Aydin B. Discovery of Spatiotemporal Event Sequences. [Internet] [Doctoral dissertation]. Georgia State University; 2017. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/122.

Council of Science Editors:

Aydin B. Discovery of Spatiotemporal Event Sequences. [Doctoral Dissertation]. Georgia State University; 2017. Available from: https://scholarworks.gsu.edu/cs_diss/122

22. Fang, Ming. Maintaining Integrity Constraints in Semantic Web.

Degree: PhD, Computer Science, 2013, Georgia State University

  As an expressive knowledge representation language for Semantic Web, Web Ontology Language (OWL) plays an important role in areas like science and commerce. The… (more)

Subjects/Keywords: Semantic web; OWL; Ontology; Logic programming; Integrity constraints

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APA (6th Edition):

Fang, M. (2013). Maintaining Integrity Constraints in Semantic Web. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/73

Chicago Manual of Style (16th Edition):

Fang, Ming. “Maintaining Integrity Constraints in Semantic Web.” 2013. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/73.

MLA Handbook (7th Edition):

Fang, Ming. “Maintaining Integrity Constraints in Semantic Web.” 2013. Web. 16 Jun 2019.

Vancouver:

Fang M. Maintaining Integrity Constraints in Semantic Web. [Internet] [Doctoral dissertation]. Georgia State University; 2013. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/73.

Council of Science Editors:

Fang M. Maintaining Integrity Constraints in Semantic Web. [Doctoral Dissertation]. Georgia State University; 2013. Available from: https://scholarworks.gsu.edu/cs_diss/73

23. Tork, Bassam A. Viral Quasispecies Reconstruction Using Next Generation Sequencing Reads.

Degree: PhD, Computer Science, 2013, Georgia State University

  The genomic diversity of viral quasispecies is a subject of great interest, especially for chronic infections. Characterization of viral diversity can be addressed by… (more)

Subjects/Keywords: RNA viruses; Viral quasispecies; Genome assembly

…at Georgia State University. This dissertation could not have been done without his… …thanks to Computer Science Department of Georgia State University faculty, staff and students… …members: Dr. Yury Khudyakov, Dr. Robert Harrison, and Dr. Rajshekhar Sunderraman. Their critique… …encouragement, advisement and support over the years of my PhD study. Special thanks to Dr. Rajshekhar… …Sunderraman for his encouragement, advisement and support over the years of my PhD study. Special… 

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

APA (6th Edition):

Tork, B. A. (2013). Viral Quasispecies Reconstruction Using Next Generation Sequencing Reads. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/77

Chicago Manual of Style (16th Edition):

Tork, Bassam A. “Viral Quasispecies Reconstruction Using Next Generation Sequencing Reads.” 2013. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/77.

MLA Handbook (7th Edition):

Tork, Bassam A. “Viral Quasispecies Reconstruction Using Next Generation Sequencing Reads.” 2013. Web. 16 Jun 2019.

Vancouver:

Tork BA. Viral Quasispecies Reconstruction Using Next Generation Sequencing Reads. [Internet] [Doctoral dissertation]. Georgia State University; 2013. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/77.

Council of Science Editors:

Tork BA. Viral Quasispecies Reconstruction Using Next Generation Sequencing Reads. [Doctoral Dissertation]. Georgia State University; 2013. Available from: https://scholarworks.gsu.edu/cs_diss/77

24. Chen, Xiao. Real-time Physics Based Simulation for 3D Computer Graphics.

Degree: PhD, Computer Science, 2013, Georgia State University

  Restoration of realistic animation is a critical part in the area of computer graphics. The goal of this sort of simulation is to imitate… (more)

Subjects/Keywords: Terrain deformation; Ship oscillation; Virtual reality

…would like to thank all of my thesis committee members: Dr. G. Scott Owen, Dr. Rajshekhar… …Sunderraman, and Dr. Dajun Dai for their encouragement and advices. The text of this dissertation… 

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

APA (6th Edition):

Chen, X. (2013). Real-time Physics Based Simulation for 3D Computer Graphics. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/79

Chicago Manual of Style (16th Edition):

Chen, Xiao. “Real-time Physics Based Simulation for 3D Computer Graphics.” 2013. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/79.

MLA Handbook (7th Edition):

Chen, Xiao. “Real-time Physics Based Simulation for 3D Computer Graphics.” 2013. Web. 16 Jun 2019.

Vancouver:

Chen X. Real-time Physics Based Simulation for 3D Computer Graphics. [Internet] [Doctoral dissertation]. Georgia State University; 2013. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/79.

Council of Science Editors:

Chen X. Real-time Physics Based Simulation for 3D Computer Graphics. [Doctoral Dissertation]. Georgia State University; 2013. Available from: https://scholarworks.gsu.edu/cs_diss/79

25. Vu, Chinh Trung. Distributed Energy-Efficient Solutions for Area Coverage Problems in Wireless Sensor Networks.

Degree: PhD, Computer Science, 2009, Georgia State University

 Wireless sensor networks (WSNs) have recently attracted a great deal of attention due to their numerous attractive applications in many different fields. Sensors and WSNs… (more)

Subjects/Keywords: k-Coverage; Energy-efficiency; Wireless Sensor Network; Adjustable Sensing Range WSN; Coverage Problem; Localized and Distributed Algorithm; Connectivity; Parallel Algorithm; Fault-Tolerance; Partial Coverage; Composite Event Detection; Robustness; Computer Sciences

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APA (6th Edition):

Vu, C. T. (2009). Distributed Energy-Efficient Solutions for Area Coverage Problems in Wireless Sensor Networks. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/37

Chicago Manual of Style (16th Edition):

Vu, Chinh Trung. “Distributed Energy-Efficient Solutions for Area Coverage Problems in Wireless Sensor Networks.” 2009. Doctoral Dissertation, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_diss/37.

MLA Handbook (7th Edition):

Vu, Chinh Trung. “Distributed Energy-Efficient Solutions for Area Coverage Problems in Wireless Sensor Networks.” 2009. Web. 16 Jun 2019.

Vancouver:

Vu CT. Distributed Energy-Efficient Solutions for Area Coverage Problems in Wireless Sensor Networks. [Internet] [Doctoral dissertation]. Georgia State University; 2009. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_diss/37.

Council of Science Editors:

Vu CT. Distributed Energy-Efficient Solutions for Area Coverage Problems in Wireless Sensor Networks. [Doctoral Dissertation]. Georgia State University; 2009. Available from: https://scholarworks.gsu.edu/cs_diss/37


Georgia State University

26. Deshmukh, Wiwek. A Physical Estimation based Continuous Monitoring Scheme for Wireless Sensor Networks.

Degree: MS, Computer Science, 2007, Georgia State University

 Data estimation is emerging as a powerful strategy for energy conservation in sensor networks. In this thesis is reported a technique, called Data Estimation using… (more)

Subjects/Keywords: wireless sensor networks; estimation; physical; Computer Sciences

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APA (6th Edition):

Deshmukh, W. (2007). A Physical Estimation based Continuous Monitoring Scheme for Wireless Sensor Networks. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_theses/45

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

Chicago Manual of Style (16th Edition):

Deshmukh, Wiwek. “A Physical Estimation based Continuous Monitoring Scheme for Wireless Sensor Networks.” 2007. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_theses/45.

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

MLA Handbook (7th Edition):

Deshmukh, Wiwek. “A Physical Estimation based Continuous Monitoring Scheme for Wireless Sensor Networks.” 2007. Web. 16 Jun 2019.

Vancouver:

Deshmukh W. A Physical Estimation based Continuous Monitoring Scheme for Wireless Sensor Networks. [Internet] [Thesis]. Georgia State University; 2007. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_theses/45.

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

Council of Science Editors:

Deshmukh W. A Physical Estimation based Continuous Monitoring Scheme for Wireless Sensor Networks. [Thesis]. Georgia State University; 2007. Available from: https://scholarworks.gsu.edu/cs_theses/45

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


Georgia State University

27. Srivrunyoo, Inthira. A Contextualized Web-Based Learning Environments for DEVS Models.

Degree: MS, Computer Science, 2007, Georgia State University

  With the advance in applying technology in education, the traditional lecture-driven teaching style is gradually replaced by a more active teaching style where the… (more)

Subjects/Keywords: Web Application; Simulation; DEVS; Computer Sciences

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APA (6th Edition):

Srivrunyoo, I. (2007). A Contextualized Web-Based Learning Environments for DEVS Models. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_theses/52

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

Chicago Manual of Style (16th Edition):

Srivrunyoo, Inthira. “A Contextualized Web-Based Learning Environments for DEVS Models.” 2007. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_theses/52.

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

MLA Handbook (7th Edition):

Srivrunyoo, Inthira. “A Contextualized Web-Based Learning Environments for DEVS Models.” 2007. Web. 16 Jun 2019.

Vancouver:

Srivrunyoo I. A Contextualized Web-Based Learning Environments for DEVS Models. [Internet] [Thesis]. Georgia State University; 2007. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_theses/52.

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

Council of Science Editors:

Srivrunyoo I. A Contextualized Web-Based Learning Environments for DEVS Models. [Thesis]. Georgia State University; 2007. Available from: https://scholarworks.gsu.edu/cs_theses/52

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


Georgia State University

28. Shen, Xiuyun. A Domain-Specific Conceptual Query System.

Degree: MS, Computer Science, 2007, Georgia State University

 This thesis presents the architecture and implementation of a query system resulted from a domain-specific conceptual data modeling and querying methodology. The query system is… (more)

Subjects/Keywords: Bioinformatics; Database; Conceptual; Domain-Specific; Life Science Data; Normal Form; Query Language; User-Defined Function; Computer Sciences

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APA (6th Edition):

Shen, X. (2007). A Domain-Specific Conceptual Query System. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_theses/46

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

Chicago Manual of Style (16th Edition):

Shen, Xiuyun. “A Domain-Specific Conceptual Query System.” 2007. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_theses/46.

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

MLA Handbook (7th Edition):

Shen, Xiuyun. “A Domain-Specific Conceptual Query System.” 2007. Web. 16 Jun 2019.

Vancouver:

Shen X. A Domain-Specific Conceptual Query System. [Internet] [Thesis]. Georgia State University; 2007. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_theses/46.

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

Council of Science Editors:

Shen X. A Domain-Specific Conceptual Query System. [Thesis]. Georgia State University; 2007. Available from: https://scholarworks.gsu.edu/cs_theses/46

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


Georgia State University

29. Yu, Liyang. An Indexation and Discovery Architecture for Semantic Web Services and its Application in Bioinformatics.

Degree: MS, Computer Science, 2006, Georgia State University

 Recently much research effort has been devoted to the discovery of relevant Web services. It is widely recognized that adding semantics to service description is… (more)

Subjects/Keywords: Ontology; OWL-S; Semantic Web services; Semantic Web; Web service standards; Web crawler; Bioinformatics applications; Indexation; Service discovery; Search engine; Computer Sciences

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APA (6th Edition):

Yu, L. (2006). An Indexation and Discovery Architecture for Semantic Web Services and its Application in Bioinformatics. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_theses/20

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

Chicago Manual of Style (16th Edition):

Yu, Liyang. “An Indexation and Discovery Architecture for Semantic Web Services and its Application in Bioinformatics.” 2006. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_theses/20.

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

MLA Handbook (7th Edition):

Yu, Liyang. “An Indexation and Discovery Architecture for Semantic Web Services and its Application in Bioinformatics.” 2006. Web. 16 Jun 2019.

Vancouver:

Yu L. An Indexation and Discovery Architecture for Semantic Web Services and its Application in Bioinformatics. [Internet] [Thesis]. Georgia State University; 2006. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_theses/20.

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

Council of Science Editors:

Yu L. An Indexation and Discovery Architecture for Semantic Web Services and its Application in Bioinformatics. [Thesis]. Georgia State University; 2006. Available from: https://scholarworks.gsu.edu/cs_theses/20

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


Georgia State University

30. Jandhyala, Sandeep. An Automated XPATH to SQL Transformation Methodology for XML Data.

Degree: MS, Computer Science, 2006, Georgia State University

 In this thesis we present an automated system that allows users to execute XPATH queries against an XML data source. The system exploits the shared-inlining… (more)

Subjects/Keywords: XSU; XPATH to SQL queries; XML SQL transformation; Data Maping; Computer Sciences

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APA (6th Edition):

Jandhyala, S. (2006). An Automated XPATH to SQL Transformation Methodology for XML Data. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_theses/21

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

Chicago Manual of Style (16th Edition):

Jandhyala, Sandeep. “An Automated XPATH to SQL Transformation Methodology for XML Data.” 2006. Thesis, Georgia State University. Accessed June 16, 2019. https://scholarworks.gsu.edu/cs_theses/21.

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

MLA Handbook (7th Edition):

Jandhyala, Sandeep. “An Automated XPATH to SQL Transformation Methodology for XML Data.” 2006. Web. 16 Jun 2019.

Vancouver:

Jandhyala S. An Automated XPATH to SQL Transformation Methodology for XML Data. [Internet] [Thesis]. Georgia State University; 2006. [cited 2019 Jun 16]. Available from: https://scholarworks.gsu.edu/cs_theses/21.

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

Council of Science Editors:

Jandhyala S. An Automated XPATH to SQL Transformation Methodology for XML Data. [Thesis]. Georgia State University; 2006. Available from: https://scholarworks.gsu.edu/cs_theses/21

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

[1] [2]

.