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Delroy Cameron, Olivier Bodenreider, Hima Yalamanchili, Tu Danh, Sreeram Vallabhaneni, Krishnaprasad Thirunarayan, Amit Sheth, Thomas Rindflesch. A Graph-Based Recovery and Decomposition of Swanson's Hypothesis using Semantic Predications. Journal of Biomedical Informatics. 2013 ;46(2):238-251.  (915.51 KB)
Delroy Cameron, Christopher Thomas, Pablo N. Mendes, Pankaj Mehra, Wenbo Wang, Amit Sheth. What Goes Around Comes Around - Improving Linked Open Data through On-Demand Model Creation. In Web Science; 2010.  (0 bytes)
Delroy Cameron, Ramakanth Kavuluru, Olivier Bodenreider, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan. Semantic Predications for Complex Information Needs in Biomedical Literature. In 5th International Conference on Bioinformatics and Biomedicine (BIBM2011). Atlanta GA: 2011 IEEE International Conference on Bioinformatics and Biomedicine; 2011.  (471.3 KB)
Delroy Cameron, Ramakanth Kavuluru, Thomas Rindflesch, Amit Sheth, Krishnaprasad Thirunarayan, Olivier Bodenreider. Context-driven automatic subgraph creation for literature-based discovery. Journal of Biomedical Informatics. 2015 ;54:141-157.  (2.37 MB)
Delroy Cameron, Amit Sheth, C. Ramakrishnan, Pablo N. Mendes, Krishnaprasad Thirunarayan, Christopher Thomas. Ontology Supported Knowledge Discovery in the Field of Human Performance and Cognition. Wright-Patterson Air Force Base; 2009.  (7.2 MB)
E. J. Cameron, L. A. Ness, Amit Sheth. An Executor for Multidatabase Transactions which Achieves Maximal Parallelism. 1st International Workshop on Interoperability in Multidatabase Systems (IMS 1991). Kyoto, Japan: IEEE; 1991. p. 288 - 291.  (329.28 KB)
Delroy Cameron, Amit Sheth, Nishita Jaykumar, Krishnaprasad Thirunarayan, Gaurish Anand, Gary Alan Smith. A Hybrid Approach to Finding Relevant Social Media Content for Complex Domain Specific Information Needs. Journal of Web Semantics. 2014 ;29:39-52.  (1.9 MB)
Delroy Cameron. A Context-Driven Subgraph Model for Literature-Based Discovery. Department of Computer Science & Engineering. [Dayton]: Wright State University; 2014. p. 181.  (3.08 MB)
Delroy Cameron, Pablo Mendes, Amit Sheth, Krishnaprasad Thirunarayan, Ramakanth Kavuluru, Olivier Bodenreider. Semantic Predications for Complex Information Needs in Biomedical Literature. 2011 IEEE International Conference on Bioinformatics and Biomedicine. Atlanta, GA: IEEE; 2011.
Delroy Cameron, Ismailcem Budak Arpinar, Boanerges Aleman-Meza. Collecting Expertise of Researchers for Finding Relevant Experts in a Peer-Review Setting. In 1st International ExpertFinder Workshop (EFW 2007), co-located with 7th Knowledge Web General Assembly; 2007.  (20.22 KB)
Delroy Cameron, Pablo N. Mendes, Amit Sheth, Victor Chan. Semantics-Empowered Text Exploration for Knowledge Discovery. In 48th ACM Southeast Conference Oxford Mississippi, April 15-17, 2010. Oxford, Mississippi: ACM; 2010.  (582.78 KB)
Delroy Cameron, Gary Alan Smith, Raminta Daniulaityte, Amit Sheth, Drashti Dave, Lu Chen, Gaurish Anand, Robert Carlson, Kera Watkins, Russel Falck. PREDOSE: A Semantic Web Platform for Drug Abuse Epidemiology using Social Media. 2013 ;.  (2.39 MB)
Delroy Cameron, Olivier Bodenreider, Hima Yalamanchili, Tu Danh, Sreeram Vallabhaneni, Krishnaprasad Thirunarayan, Amit Sheth, Thomas C. Rindflesch. A Graph-Based Recovery and Decomposition of Swanson's Hypothesis using Semantic Predications. 2012.  (915.51 KB)
Jorge Cardoso, Amit Sheth. Process Composition: Quality of Service Specification, Semantics and Adaptation. In EI3-IC Workshop 3; 2002.  (256 KB)
Jorge Cardoso, Amit Sheth, Christoph Bussler. Semantic Web Services and Processes: Semantic Composition and Quality of Service. In International Federated Conferences: DOA/ODBASE/CoopIS. Irvine, CA: International Federated Conferences: DOA/ODBASE/CoopIS; 2002.  (3.23 MB)
Jorge Cardoso, Amit Sheth. Semantic Web Services and Web Process Composition. In 1st International Workshop SWSWPC 2004; 2004.
Jorge Cardoso, Francisco Curbera, Amit Sheth. Service Oriented Archiectures and Semantic Web Processes. In Service Oriented Archiectures and Semantic Web Processes. 2004.
Jorge Cardoso, John Miller, Amit Sheth. Workflow Quality of Service. In 2002.  (174.03 KB)
Jorge Cardoso, Amit Sheth. Adaptation and Workflow Management Systems. In International Conference WWWInternet. Sunny Lisbon, Portugal; 2005.  (364.03 KB)
Jorge Cardoso, Amit Sheth. Services and Web Process Composition - SWSWPC 2004. In SWSWPC 2004; 2004.  (3.44 MB)
Carlos Castillo, Fernando Diaz, Hemant Purohit. Leveraging Social Media and Web of Data for Crisis Response Coordination. 2014.
Senthilanand Chandrasekaran, John Miller, Gregory Silver, Ismailcem Budak Arpinar, Amit Sheth. Composition, Performance Analysis and Simulation of Web Services. Electronic Markets: The International Journal of Electronic Commerce and Business Media. 2003 ;.  (197.72 KB)
Sanjay Chaudhary, Amit Sheth, Kamlesh Lulla. Why Gujarat Needs Much Better Higher Education & Research to Succeed in Knowledge Economy & What We Can Do About It?. In Round Table on Regulatory & Policy Reform for Higher Education in Gujarat, in conjunction with the International Conference on Reconnecting Gujarati Diaspora with its Homeland: Contribution to its Development with a Focus on Building a Knowledge Society; 2009.
Michelle Cheatham. MapSSS results for OAEI 2011. In MapSSS results for OAEI 2011. 2011.
Siva Cheekula, Pavan Kapanipathi, Derek Doran, Prateek Jain, Amit Sheth. Entity Recommendations Using Hierarchical Knowledge Bases. Extended Semantic Web Conference 2015 (ESWC 2015). Portoroz, Slovenia; 2015.  (355.5 KB)
Siva Kumar Cheekula. Characterizing Concepts in Taxonomy for Entity Recommendations. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2016. p. 59.  (2.08 MB)
Lu Chen, Wenbo Wang, Amit Sheth. Are Twitter users equal in predicting elections? A study of user groups in predicting 2012 US Republican Presidential Primaries. In SocInfo 2012. Lausanne, Switzerland: Springer Berlin Heidelberg; 2012. p. 379-392.  (280.79 KB)
Keke Chen, Hua Yan, Ling Liu. SCALE: a Scalable Framework for Efficiently Clustering Large Transactional Data. Journal of Data Mining and Knowledge Discovery (DMKD). 2009 ;.  (349.91 KB)
Keke Chen, Ling Liu. ClusterMap: Labeling Large Datasets via Visualization. In ClusterMap: Labeling Large Datasets via Visualization. 2004.  (0 bytes)
Keke Chen, Ling Liu. iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets. 2006 ;.  (0 bytes)
Keke Chen, Rongqing Lu, C.K. Wong, Gordon Sun, Larry Heck, Belle Tseng. Trada: a Tree-Based Ranking Function Adaptation Approach. In 17th ACM Conference on Information and Knowledge Management. Napa Valley, California: ACM; 2008. p. 1143-1152.  (301.46 KB)
Lu Chen, Justin Martineau, Doreen Cheng, Amit Sheth. Clustering for Simultaneous Extraction of Aspects and Features from Reviews. In North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL: HLT). San Diego, California: NAACL; 2016.  (299.4 KB)
Yixin Chen, Jian Pei, Jiawei Han, Y. Dora, Guozhu Dong, Benjamin Wah, Jianyong Wang. Cai: Stream Cube: An Architecture for Multi-Dimensional Analysis of Data Streams. 2004 ;.
Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Extracting Diverse Sentiment Expressions with Target-dependent Polarity from Twitter. In International AAAI Conference on Weblogs and Social Media (ICWSM). Dublin, Ireland: In Proceedings of the 6th International AAAI Conference on Weblogs and Social Media (ICWSM); 2012.  (220.53 KB)
Keke Chen, Ling Liu. Privacy-preserving Multiparty Collaborative Mining with Geometric Data Perturbation. IEEE Transactions on Parallel and Distributed Systems. 2009 ;.
Lu Chen, Ingmar Weber, Adam Okulicz-Kozaryn. U.S. Religious Landscape on Twitter. In 6th International Conference on Social Informatics (SocInfo 2014). Barcelona, Spain; 2014.  (1.28 MB)
Keke Chen, Ling Liu. The "Best K" for Entropy-based Categorical Clustering. In The "Best K" for Entropy-based Categorical Clustering. 2005.  (0 bytes)
Keke Chen, Ramakanth Kavuluru, Shumin Guo. RASP: Efficient Multidimensional Range Query on Attack-Resilient Encrypted Databases. In ACM Conference on Data and Application Security and Privacy (CODASPY) 2011. San Antonio, TX; 2011.  (316.57 KB)
Keke Chen, Bharath Avusherla, Sarah Allison, Vincent Schmidt. SPIN: Cleaning, Monitoring, and Querying Image Streams Generated by Ground-Based Telescopes for Space Situational Awareness. 2017 ;. Citation Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt Data Intensive Analysis and Computing Lab Department of Computer Science and Engineering Wright State University, OH, USA E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
Citation Keke Chen, Bharath Avusherla, Sarah Allison ,Vincent Schmidt Data Intensive Analysis and Computing Lab Department of Computer Science and Engineering Wright State University, OH, USA E-mail: {keke.chen, avusherla.2, allison.24}@wright.edu
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Lu Chen, Wenbo Wang, Meenakshi Nagarajan, Shaojun Wang, Amit Sheth. Beyond Positive/Negative Classification: Automatic Extraction of Sentiment Clues from Microblogs. 2011.
Keke Chen, Hongyuan Zha, Gordon Sun, Zhaohui Zheng. A Regression Framework for Learning Ranking Functions Using Relative Relevance Judgments. In A Regression Framework for Learning Ranking Functions Using Relative Relevance Judgments. 2007.  (0 bytes)
Keke Chen, Huiqi Xu, Fengguang Tian, Shumin Guo. CloudVista: Visual Cluster Exploration for Extreme Scale Data in the Cloud. In Scientific and Statistical Database Management Conference. Portland OR; 2011.  (557.52 KB)
Keke Chen, Ling Liu. HE-Tree: a Framework for Detecting Changes in Clustering Structure for Categorical Data Streams. 2009 ;.
Keke Chen, Ling Liu. Privacy-Preserving Data Classification with Rotation Perturbation. In IEEE International Conference on Data Mining 2005 (ICDM 2005). Houston, Texas; 2005.
Lijun Chen, Guozhu Dong. Masquerader Detection Using OCLEP: One-Class Classification Using Length Statistics of Emerging Patterns. In International Workshop on INformation Processing over Evolving Networks (WINPEN); 2006.

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