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Distinguished Chair and Distinguished Research Fellows 特聘講座/特聘研究員

陳銘憲
特聘研究員

Ming-Syan Chen

Tel: +886-2-2787-2302
Distinguished Research Fellow Fax: +886-2-2787-2304
Director of Research Center for Information Technology Innovation, Academia Sinica Email: mschen@citi.sinica.edu.tw
Ph.D., Computer, Information and Control Engineering, University of Michigan, Ann Arbor, MI, USA http://arbor.ee.ntu.edu.tw/~mschen/

Research Description Publications
研究介紹 代表著作

Prof. Chen’s research interests include database, data privacy leak in sharing/publishing social networks, and 1. M.-S. Chen, J. Han and P. S. Yu,“Data Mining: An Overview from a Data-
mining, cloud computing, and multimedia networking. proposed anonymization algorithms to perturb social base Perspective,’’ IEEE Trans. on Knowledge and Data Engineering, Vol.
He has published more than 300 papers and edited two networks for privacy protection while the data utility is 8, No. 6, pp. 866-883, December 1996.
books. More than 100 of his journal papers are published preserved as much as possible. 2. M.-S. Chen, J.-S. Park and P. S. Yu, “Efficient Data Mining for Path Tra-

in major ACM/IEEE journals/transactions. According to versal Patterns,’’ IEEE Trans. on Knowledge and Data Engineering, Vol. 10,
Google Scholar, the publications of Prof. Chen have re- No. 2, pp. 209-221, April 1998. ● Chair Professor, National Chung-
ceived more than 10,000 citations in total. He also filed 3. J.-W. Huang, B.-R. Dai, and M.-S. Chen, ``Twain: Two-End Association Hsing University (2010-2013)
18 US patents and ten ROC patents. More information for Miner with Precise Frequent Exhibition Periods,’’ ACM Trans. on Knowl-
his research achievements can be found in http://www. edge Discovery from Data, Vol. 1, No. 2, July 2007. ● Academic Award, Ministry of Educa-
tion (2009)
ee.ntu.edu.tw/~mschen. 4. M.-Y. Yeh, K.-L. Wu, P. S. Yu, and M.-S. Chen, “LEEWAVE: Level-Wise

Distribution of Wavelet Coefficients for Processing kNN Queries over Dis- ● President/CEO of Institute for Infor-
th
Prof. Chen is a pioneering researcher on data mining, and tributed Streams,’’ Proc. of the 34 Intern’l Conf. on Very Large Data Bases mation Industry (III), Taiwan (2007-
2008)
was among the very first to explore path traversal pattern (VLDB-2008), August 24-30, 2008.
mining in the Web, which has later spawned many sub- 5. S.-H. Wu, K.-T. Chuang, C.-M. Chen, and M.-S. Chen, “Toward the Optimal ● ACM Fellow (2006) and IEEE Fellow
sequent studies. In recent years, Prof. Chen and his stu- Itinerary-based KNN Query Processing in Mobile Sensor Networks,’’ IEEE (2004)
dents paid particular attention to some emerging issues Trans. on Knowledge and Data Engineering, Vol. 20, No. 12, pp. 1655-1668, ● Teco Award, Teco Technology Foun-
December 2008.
on big data, including data mining on (1) streaming data, dation, 2006.
(2) mobile environments, and (3) social networks. In the 6. C.-C. Chen, M.-C. Chen, and M.-S. Chen, ``An Adaptive Threshold Frame- ● Honorary Medal of Information,

first field, concerning the fast increasing streaming data work for Event Detection Using HMM-based Life Profiles,’’ ACM Trans. on IICM,2006.
Information Systems, Vol. 27, No. 2, 2009.
with limited memory, they developed the wavelet-based ● Pan Wen Yuan Distinguished Research
approaches to support flexible clustering requirements 7. C.-H. Tai, P. S. Yu, and M.-S. Chen, “k-Support Anonymity based on Pseudo Award, Pan Wen Yuan Foundation,
th
and bandwidth-efficient query processing of k-nearest Taxonomy for Outsourcing of Frequent Itemset Mining,’’ Proc. of the 16 2005.
ACM SIGKDD Intern’l Conf. on Knowledge Discovery and Data Mining
neighbors among distributed streams. The studies have (KDD-2010), July 25-28, 2010. ● Distinguished Research Award,
also been extended to handle uncertain data streams. National Science Council, (2002-2005,
Next, in the wireless mobile networks, data transmission 8. K.-H. Liu, W.-G. Teng, and M.-S. Chen, ``Dynamic Wavelet Synopses 2009-2012)
Management over Sliding Windows in Sensor Networks,’’ IEEE Trans. on
is usually expensive due to the limited energy of devices. Knowledge and Data Engineering, Vol. 22, No. 2, pp. 193-206, February ● Distinguished Professor, EE/CSIE/
Prof. Chen addressed the problems of movement patterns 2010. GICE, National Taiwan University
mining and query processing in such environments, and 9. H.-P. Tsai, D.-N. Yang, and M.-S. Chen,“Mining Group Movement Patterns (since 1997)
proposed some effective techniques to help reduce the for Tracking Moving Objects Efficiently,’’ IEEE Trans. on Knowledge and ● Research sta member at IBM

energy consumption by minimiing the amount of data Data Engineering, Vol. 23, No. 2, pp. 266-281, February 2011. Thomas J. Watson Research Center,
transmitted. In the social network field, they explored 10. C.-H. Tai, P. S. Yu, D.-N. Yang, and M.-S. Chen, “Privacy-Preserving So- USA (1988-1996)
the utility issues of significant node identification, social cial Network Publication Against Friendship Attacks,’’ Proc. of the 17 ACM ● Ph.D., Computer, Information and
th
networking spam detection, and social-temporal group SIGKDD Intern’l Conf. on Knowledge Discovery and Data Mining (KDD- Control Engineering, University of
query which are designed to find the activity time and 2011), August 21-24, 2011. Michigan, USA (1988)
attendees with the minimum total social distance to the 11. D.-N. Yang, Y.-L. Chen, W.-C. Lee, and M.-S. Chen, “On Social-Temporal ● B.S., EE, National Taiwan University,
initiator. In addition, Prof. Chen also examinid the risk of Group Query with Acquaintance Constraint,’’ Proc. of the 37 Intern’l Conf. Taiwan
th
on Very Large Data Bases (VLDB-2011), August 29-September 3, 2011.
12. K.-P. Lin and M.-S. Chen, “On the Design and Analysis of the Privacy-Pre-

serving SVM Classifier,” IEEE Trans. on Knowledge and Data Engineering,
Vol. 23, No. 11, pp. 1704-1717, November 2011.

特聘講座/特聘研究員
50 Distinguished Chair and Distinguished
Research Fellows
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