Library

Edward Curry, Schahram Dustdar, Quan Sheng, Amit Sheth. Smart Cities – Enabling Services and Applications. Journal of Internet Services and Applications. SpringerOpen; 2016 ;7(6).

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Valerie Cross, Cosmin Stroe, Xueheng Hu, Pramit Silwal, Maryam Panahiazar, Isabel F. Cruz, Priti Parikh, Amit Sheth. Aligning the Parasite Experiment Ontology and the Ontology for Biomedical Investigations Using AgreementMaker. In International Conference on Biomedical Ontology (ICBO 2011). Buffalo, New York; 2011.

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Jack Corley, Warren Karp, Amit Sheth. Critical IT role in Healthcare: National Agenda, Applications, and Technologies. 1999 ;.

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Gina Cooper, Michael Raymer. Improving Remote Homology Detection Using Sequence Properties and Position Specific Scoring Matrices. In The 2009 International Conference on Bioinformatics and Computational Biology (BIOCOMP 09). Las Vegas, Nevada; 2009.

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Michael Compton, Payam Barnaghi, Luis Bermudez, Raul Garcia-Castro, Oscar Corcho, Simon Cox, John Graybeal, Manfred Hauswirth, Cory Henson, Arthur Herzog, Vincent Huang, Krzysztof Janowicz, W. David Kelsey, Danh Le Phuoc, Laurent Lefort, Myriam Leggieri, Holger Neuhaus, Andriy Nikolov, Kevin Page, Alexandre Passant, Amit Sheth, Kerry Taylor. The SSN Ontology of the W3C Semantic Sensor Network Incubator Group. Journal of Web Semantics. 2012 ;.

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A. Comelio, Amit Sheth, J. Larson, S. Navathe. A Tool for Integrating Conceptual Schemas and User Views. In A Tool for Integrating Conceptual Schemas and User Views. 1988.

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K. Cleereman, Krishnaprasad Thirunarayan, M. Cheatham. Mechanisms for Improved Covariant Type-Checking. Computer Languages, Systems and Structures; 2008. p. 1-17.

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K. Cleereman, Krishnaprasad Thirunarayan, M. Cheatham. Runtime Support of Speculative Optimization for Offline Escape Analysis. In Runtime Support of Speculative Optimization for Offline Escape Analysis. 2007.

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Jenny Choy, Tong Luo, Yunlong Huo, Thomas Wischgoll, Kyle Schultz, Shawn Teague, Michael Sturek, Ghassan Kassab. Compensatory Enlargement of Ossabaw Miniature Swine Coronary Arteries in Diffuse Atherosclerosis. International Journal of Cardiology. 2014 ;6:4-11.

Jenny Choy, Erik Ritman, Ghassan Kassab, Thomas Wischgoll. Validation of Image-Based Extraction Method for Morphometry of Coronary Arteries. Annals of Biomedical Engineering. 2008 ;:356-368.

Alexander Chocholaty, Pascal Hitzler. Spieltheorie. In 1996.

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L. Cheng, D. Schuurmans, R. Greiner, Shaojun Wang, Shaojun Wang. Exploiting Syntactic, Semantic and Lexical Regularities in Language Modeling via Directed Markov Random Fields. In Exploiting Syntactic, Semantic and Lexical Regularities in Language Modeling via Directed Markov Random Fields. 2005.

L. Cheng, S. Vishwanathan, D. Schuurmans, Shaojun Wang, Terry Caelli. Implicit Online Learning with Kernels. 2007 ;.

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Lijun Chen, Guozhu Dong. Succinct and Informative Cluster Descriptions for Document Repositories. In Succinct and Informative Cluster Descriptions for Document Repositories. 2006.

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 ;.

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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.

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Keke Chen, Ling Liu. Privacy-Preserving Data Classification with Rotation Perturbation. In IEEE International Conference on Data Mining 2005 (ICDM 2005). Houston, Texas; 2005.

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, 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.

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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.

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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.

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Keke Chen, Ling Liu. Privacy-preserving Multiparty Collaborative Mining with Geometric Data Perturbation. IEEE Transactions on Parallel and Distributed Systems. 2009 ;.

Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2010 ;.

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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.

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.

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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.

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Keke Chen, Ling Liu. Space Adaptation: Privacy-preserving Multiparty Collaborative Mining with Geometric Perturbation. In Space Adaptation: Privacy-preserving Multiparty Collaborative Mining with Geometric Perturbation. 2007.

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Keke Chen, Ling Liu. HE-Tree: a Framework for Detecting Changes in Clustering Structure for Categorical Data Streams. 2009 ;.

Keke Chen, Ling Liu. VISTA: Validating and Refining Clusters via Visualization. Information Visualization. Journal for information vizualization. 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.

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Keke Chen, Ling Liu. iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets. 2006 ;.

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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.

Keke Chen, Ling Liu. ClusterMap: Labeling Large Datasets via Visualization. In ClusterMap: Labeling Large Datasets via Visualization. 2004.

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Keke Chen, Jing Bai, Zhaohui Zheng. Ranking Function Adaptation With Boosting Trees. ACM Transactions on Information Systems. 2011 ;.

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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.

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Keke Chen, Ling Liu. The "Best K" for Entropy-based Categorical Clustering. In The "Best K" for Entropy-based Categorical Clustering. 2005.

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Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2011 ;.

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Siva Kumar Cheekula. Characterizing Concepts in Taxonomy for Entity Recommendations. Department of Engineering & Computer Science. [Dayton]: Wright State University; 2016. p. 59.

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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.

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Michelle Cheatham. MapSSS results for OAEI 2011. In MapSSS results for OAEI 2011. 2011.

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.