Copyright: the listed software tools and datasets are free for non-commercial use. The authors have no responsibility or legal obligation for any consequence caused by using them. If you want to use them in your publications, please cite them appropriately. Please contact Keke Chen (keke.chen at wright.edu) for any further questions.
Please cite Sagar Sharma, James Powers, and Keke Chen,
"Privacy-Preserving Spectral Analysis of Large Graphs in Public
Clouds", ACM Symposium on InformAtion, Computer and Communications
Security (ASIACCS), Xi'an, China, 2016
Please cite Keke Chen, James Powers, Shumin Guo, and Fengguang Tian:
"CRESP: Towards Optimal Resource Provisioning for MapReduce Computing in
Public Clouds ", IEEE Transactions on Parallel and Distributed Systems
(TPDS), Volume 25, Number 6, 2014
Please cite Huiqi Xu, Shumin Guo, and Keke Chen " Building Confidential
and Efficient Query Services in the Cloud with RASP Data Perturbation”, TKDE,
2014
Please cite: Keke Chen, Huiqi Xu, Fengguang Tian, Shumin Guo: " CloudVista:
visual cluster exploration for extreme scale data in the cloud ",
Scientific and Statistical Database Management Conference, Portland OR, 2011
Please cite Shumin Guo and Keke Chen: "Mining Privacy Settings to Find
Optimal Privacy-Utility Tradeoffs for Social Network Services", IEEE/ASE
Conference on Privacy, Security, Risk and Trust (PASSAT), Amsterdam,
Netherlands, 2012
Please cite: Keke Chen and Ling Liu: "Geometric Data Perturbation for
Privacy Preserving Outsourced Data Mining ", Journal of Knowledge and
Information Systems (KAIS), 2011
Please cite: Keke Chen and Ling Liu: " Best K: the Critical Clustering
Structures in Categorical Data ", Knowedge and Information Systems, 2008
Please cite: Keke Chen and Ling Liu: "VISTA: Validating and Refining
Clusters via Visualization." Journal of Information Visualization, Sept.
2004
Other tools: