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Journal Article
Keke Chen, Ling Liu. VISTA: Validating and Refining Clusters via Visualization. Information Visualization. Journal for information vizualization. 2004 ;.
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
 (2.5 MB)
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, Jing Bai, Zhaohui Zheng. Ranking Function Adaptation With Boosting Trees. ACM Transactions on Information Systems. 2011 ;.  (437.8 KB)
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. iVIBRATE: Interactive Visualization Based Framework for Clustering Large Datasets. 2006 ;.  (0 bytes)
Keke Chen, Ling Liu. HE-Tree: a Framework for Detecting Changes in Clustering Structure for Categorical Data Streams. 2009 ;.
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2010 ;.  (1.21 MB)
Keke Chen, Ling Liu. Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining. Journal of Knowledge and Information Systems (KAIS). 2011 ;.  (1.21 MB)
Ling Liu, Keke Chen. Document Clustering and Ranking System for Exploring MEDLINE Citations. 2007 ;.  (0 bytes)
Hua Yan, Keke Chen, Ling Liu. Determining the Best K for Clustering Transactional Datasets: A Coverage Density-based Approach. 2008 ;.  (536 KB)
Ling Liu, Keke Chen. Best K: the Critical Clustering Structures in Categorical Data. 2008 ;.  (0 bytes)
Conference Proceedings
Lu Zhou, Wenbo Wang, Keke Chen. Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones. 25th International World Wide Web Conference (WWW 2016). Montreal, Canada: ACM; 2016. p. 603-612.  (367.25 KB)
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.
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.
Conference Poster
Sagar Sharma, Keke Chen. Privacy-Preserving Boosting with Random Linear Classifiers. ACM Conference on Computer and Communications Security (CCS) 2018; 2018.  (724.46 KB)
Sagar Sharma, Keke Chen. Poster: Image Disguising for Privacy-preserving Deep Learning. ACM Conference on Computer and Communications Security (CCS) 2018; 2018.  (1.04 MB)
Conference Paper
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)
Fengguang Tian, Keke Chen. VisGBT: Visually Analyzing Evolving Datasets for Adaptive Learning. In VisGBT: Visually Analyzing Evolving Datasets for Adaptive Learning. 2009.
Ling Liu, Keke Chen. Validating and Refining Clusters via Visual Rendering. In Validating and Refining Clusters via Visual Rendering. 2003.  (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)
Fengguang Tian, Keke Chen. Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds. In IEEE Conference on Cloud Computing. 2011.  (223.59 KB)
Ling Liu, Keke Chen. Towards Attack-Resilient Geometric Data Perturbation. In Towards Attack-Resilient Geometric Data Perturbation. 2007.  (0 bytes)
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, 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, 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)
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.
Keke Chen, Ling Liu. Privacy-Preserving Data Classification with Rotation Perturbation. In IEEE International Conference on Data Mining 2005 (ICDM 2005). Houston, Texas; 2005.
Shreyansh Bhatt, Swati Padhee, Amit Sheth, Keke Chen, Valerie Shalin, Derek Doran, Brandon Minnery. Knowledge Graph Enhanced Community Detection and Characterization. In Twelfth ACM International Conference on Web Search and Data Mining. Melbourne, Australia: ACM; 2019. p. 51-59.  (1.47 MB)
Zhaohui Zheng, Hongyuan Zha, Gordon Sun, Olivier Chapelle, Keke Chen, Tong Zhang. A General Boosting Method and its Application to Learning Ranking Functions for Web Search. In A General Boosting Method and its Application to Learning Ranking Functions for Web Search. 2007.  (0 bytes)
Jinpeng Wei, Calton Pu, Keke Chen. Flying under the Radar: Maintaining Control of Kernel without Changing Kernel Code or Persistent Data Structures. In 2011.
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)
Belle Tseng, Jing Bai, Srihari Reddy, Keke Chen. On Domain Similarity and Effectiveness of Adapting to Rank. In On Domain Similarity and Effectiveness of Adapting to Rank. 2009.
Ling Liu, Keke Chen. Detecting Change of Clustering Structure in Categorical Data Stream. In Detecting Change of Clustering Structure in Categorical Data Stream. 2006.  (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)
Keke Chen, Ling Liu. ClusterMap: Labeling Large Datasets via Visualization. In ClusterMap: Labeling Large Datasets via Visualization. 2004.  (0 bytes)
Ling Liu, Keke Chen. Cluster Rendering of Skewed Datasets via Visualization. In Cluster Rendering of Skewed Datasets via Visualization. 2003.  (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. The "Best K" for Entropy-based Categorical Clustering. In The "Best K" for Entropy-based Categorical Clustering. 2005.  (0 bytes)
Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit Sheth. Adaptive Training Instance Selection for Cross-Domain Emotion Identification. In WI ’17. Leipzig, Germany; 2017.  (710.53 KB)
Rongqing Lu, Keke Chen, Larry Heck, Belle Tseng, Gordon Sun, C.K. Wong. Adapting Ranking Functions to User Preference. In Adapting Ranking Functions to User Preference. 2008.  (0 bytes)