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Publications



               1.  H.-H. Shuai, D.-N. Yang, P. S. Yu and M.-S. Chen, “Willing-  11.  K.-P. Lin and M.-S. Chen, “On the Design and Analysis of the

                   ness Optimization for Social Group Activity,’’ Proc. of the 40    Privacy-Preserving SVM Classifier,’’ IEEE Trans. on Knowl-
                                                               th
                   Int’l Conf. on Very Large Data Bases (VLDB-2014), Septem-  edge and Data Engineering, Vol. 23, No. 11, pp. 1704-1717,
                   ber 1-5, 2014.                                      November 2011.
               2.  K.-T. Lai, Felix. X. Yu, M.-S. Chen and S.-F. Chang, “Vid-  12.  D.-N. Yang, Y.-L. Chen, W.-C. Lee, and M.-S. Chen, “On So-
                   eo Event Detection by Inferring Temporal Instance Labels,’’   cial-Temporal Group Query with Acquaintance Constraint,’’
                   Proc. of the 2014 27  IEEE Conference on Computer Vision   Proc. of the 37  Int’l Conf. on Very Large Data Bases (VLDB-
                                                                                  th
                                  th
                   and Pattern Recognition (CVPR 2014), June 24-27, 2014.  2011), August 29-September 3, 2011.
               3.  C.-H. Tai, P.-J. Tseng, P. S. Yu, and M.-S. Chen, “Identity Pro-  13.  C.-H. Tai, P. S. Yu, D.-N. Yang, and M.-S. Chen, “Privacy-
                   tection in Sequential Releases of Dynamic Social Networks,’’   Preserving Social Network Publication Against Friendship At-
                                                                                        th
                   IEEE Trans. on Knowledge and Data Engineering, Vol. 26,   tacks,’’ Proc. of the 17  ACM SIGKDD Int’l Conf. on Knowl-
                   No. 3, pp. 635-651, March 2014.                     edge Discovery and Data Mining (KDD-2011), August 21-24,
                                                                       2011.
               4.  S.-H. Wu, M.-S. Chen, and C.-M. Chen, “Optimally Adaptive
                   Power Saving Protocols for Ad Hoc Networks Using the Hy-  14.  H.-P.  Tsai, D.-N.  Yang, and M.-S. Chen, “Mining Group

                   per Quorum System,’’ IEEE/ACM Trans. on Networking, Vol.   Movement Patterns for Tracking Moving Objects Efficiently,’’
                   22, No. 1, pp. 1-15, February 2014.                 IEEE Trans. on Knowledge and Data Engineering, Vol. 23,
                                                                       No. 2, pp. 266-281, February 2011.
               5.  W.-L. Shen, C.-J. Lin, S. Gollakota and M.-S. Chen, “Rate
                   Adaptation  for  802.11  Multiuser  MIMO  Networks,’’  IEEE   15.  C.-C. Chen, M.-C. Chen, and M.-S. Chen, “An  Adaptive
                   Transactions on Mobile Computing, Vol. 13, No. 1, pp. 35-47,   Threshold Framework for Event Detection  Using HMM-

                   January 2014.                                       based  Life  Profiles,’’  ACM Trans. on Information Systems,
                                                                       Vol. 27, No. 2, 2009.
               6.  C.-H. Tai, D.-N. Yang, P. S. Yu, and M.-S. Chen, “Structural
                   Diversity for Resisting Community Identification in Published   16.  S.-H. Wu, K.-T. Chuang, C.-M. Chen, and M.-S. Chen, “To-

                   Social Networks,’’ IEEE Trans. on Knowledge and Data Engi-  ward the Optimal Itinerary-based KNN Query Processing in
                   neering, Vol. 26, No. 1, pp. 235-252, January 2014.  Mobile Sensor Networks,’’ IEEE Trans. on Knowledge and
                                                                       Data Engineering, Vol. 20, No. 12, pp. 1655-1668, December
               7.  C.-C. Yen, M.-Y. Yeh and M.-S. Chen, “An Efficient Approach   2008.

                   to Updating Closeness Centrality and Average Path Length in
                   Dynamic  Networks,’’  Proc. of the 2013 IEEE International   17.  M.-Y. Yeh, K.-L. Wu, P. S. Yu, and M.-S. Chen, “LEEWAVE:
                   Conference on Data Mining (ICDM 2013), December 7-10,   Level-Wise Distribution of Wavelet Coefficients for Process-

                   2013.                                               ing kNN Queries over Distributed Streams,’’ Proc. of the 34th
                                                                       Int’l Conf. on Very Large Data Bases (VLDB-2008), August

               8.  H.-R.  Wu,  M.-Y.  Yeh,  and  M.-S.  Chen,  “Profiling  Moving   24-30, 2008.
                   Objects by Dividing and Clustering Trajectories Spatiotempo-
                   rally,’’ IEEE Trans. on Knowledge and Data Engineering, Vol.   18.  J.-W. Huang, B.-R. Dai, and M.-S. Chen, “Twain: Two-End
                   25, No. 11, pp. 2615-2628, 2013.                    Association Miner with Precise Frequent Exhibition Periods,’’
                                                                       ACM Trans. on Knowledge Discovery from Data, Vol. 1, No.
               9.  S.-H.  Wu, K.-P. Lin, H.-H. Chien, C.-M. Chen, and M.-S.   2, July 2007.
                   Chen, “On Generalizable  Low False-Positive  Learning  Us-

                   ing Asymmetric Support Vector Machines,’’ IEEE Trans. on   19.  M.-S. Chen, J.-S. Park and P. S. Yu, “Efficient Data Mining
                   Knowledge and Data Engineering, Vol. 25, No. 5, pp. 1083-  for Path Traversal Patterns,’’ IEEE Trans. on Knowledge and
                   1096, May 2013.                                     Data Engineering, Vol. 10, No. 2, pp. 209-221, April 1998.
               10.  C.-Y. Shen,  D.-N.  Yang,  and  M.-S. Chen,  “Collaborative   20.  M.-S. Chen, J. Han and P. S. Yu, “Data Mining: An Overview
                   and Distributed Search System with Mobile Devices,’’ IEEE   from a Database Perspective,’’ IEEE Trans. on Knowledge and
                   Trans. on Mobile Computing, Vol. 11, No. 10, pp. 1478-1493,   Data Engineering, Vol. 8, No. 6, pp. 866-883, December 1996.
                   October 2012.






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