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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.  (557.52 KB)
Ling Liu, Keke Chen. Cluster Rendering of Skewed Datasets via Visualization. In Cluster Rendering of Skewed Datasets via Visualization. 2003.  (0 bytes)
Keke Chen, Ling Liu. ClusterMap: Labeling Large Datasets via Visualization. In ClusterMap: Labeling Large Datasets via Visualization. 2004.  (0 bytes)
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen. Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking. In International Conference on Computational Linguistics. 2010.  (267.85 KB)
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Hua Yan, Keke Chen, Ling Liu. Efficiently Clustering Transactional Data with Weighted Coverage Density. In Efficiently Clustering Transactional Data with Weighted Coverage Density. 2006.  (0 bytes)
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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.
Keke Chen, Ling Liu. Privacy-preserving Multiparty Collaborative Mining with Geometric Data Perturbation. IEEE Transactions on Parallel and Distributed Systems. 2009 ;.
Sagar Sharma, James Powers, Keke Chen. Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. Asia Conference on Computer and Communications Security 2016. Xi'an, China: ACM; 2016. p. 71-82.
Sagar Sharma, Keke Chen. PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. In Distributed Computing Systems (ICDCS), 2017 IEEE 37th International Conference. Atlanta, GA, USA: IEEE; 2017.
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Keke Chen, Jing Bai, Zhaohui Zheng. Ranking Function Adaptation With Boosting Trees. ACM Transactions on Information Systems. 2011 ;.  (437.8 KB)
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, 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)
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Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen. Scalable Euclidean Embedding for Big Data. 2015 IEEE 8th International Conference on Cloud Computing. New York City, NY: IEEE; 2015. p. 773 - 780.
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)
Hua Yan, Keke Chen, Ling Liu, Zhang Yi. SCALE: a Scalable Framework for Efficiently Clustering Large Transactional Data. Journal of Data Mining and Knowledge Discovery (DMKD). 2010 ;.  (349.91 KB)
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.  (0 bytes)
Keke Chen, Avusherla B, Allison S, Schmidt V. 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
 (2.5 MB)
Ling Liu, Keke Chen. A Survey of Multiplicative Data Perturbation for Privacy Preserving Data Mining. In 2008.  (244.19 KB)
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Ling Liu, Keke Chen. Validating and Refining Clusters via Visual Rendering. In Validating and Refining Clusters via Visual Rendering. 2003.  (0 bytes)
Fengguang Tian, Keke Chen. VisGBT: Visually Analyzing Evolving Datasets for Adaptive Learning. In VisGBT: Visually Analyzing Evolving Datasets for Adaptive Learning. 2009.
Keke Chen, Ling Liu. VISTA: Validating and Refining Clusters via Visualization. Information Visualization. Journal for information vizualization. 2004 ;.
Ling Liu, Keke Chen. A Visual Framework Invites Human into the Clustering Process. In A Visual Framework Invites Human into the Clustering Process. 2003.  (0 bytes)