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数据挖掘牛人 一览
作者：我家小花儿 | 2024-03-02 15:56:39
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数据挖掘牛人
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Jiawei Han 个人主页：
http://www-sal.cs.uiuc.edu/~hanj/
Professor, Department of Computer Science
Univ. of Illinois at Urbana-Champaign Rm 2132, Siebel Center for Computer Science 201 N. Goodwin Avenue Urbana, IL 61801, USA E-mail: hanj[at]cs.uiuc.edu Ph.D. (1985), Computer Science, Univ. Wisconsin-Madison
Research Projects
---------------------------------------------------------------------------- ---- Mining Sequential and Structured Patterns: Scalability, Flexibility, Extensi bility and Applicability This project is to perform a systematic investigation of the principles, alg orithms, and applications of scalable sequential and structured pattern mini ng, which covers the following issues: (1) development of highly scalable mi ning algorithms, including mining max-patterns, closed patterns and top-k pa tterns; (2) investigation of highly flexible mining methodologies, including mining of multi-dimensional multi-level sequential and structured patterns and constraint-based mining; (3) extension of the scope to cover sequential or structured pattern-based clustering; and (4) application of multi-dimensi onal, multi-level sequential or structured pattern mining for intrusion dete ction, Web mining, and other important applications. This will lead to a set of efficient, scalable, and flexible sequential and structured pattern mini ng methods for scientific and industrial applications. ---------------------------------------------------------------------------- ---- Mining Dynamics of Data Streams in Multi-Dimensional Space The proposed project is based on our long-term active research, strong resea rch record, fruitful research results, and rich experience on data mining, d ata warehousing, database systems, and data mining applications, as well as our preliminary work on multi-dimensional stream data analysis. Due to the f ast generation of huge volumes of stream data in many applications, such as computer network traffic, video surveillance, telecommunication, Web clickin g stream, stock market, and so on, stream data mining has become an active t heme of research in data mining, with broad applications in industry and dee p implications in other related research. This project will perform a system atic and in-depth investigation on the principles, methods, and implementati on techniques for mining data stream dynamics, which will lead to deep under standing of the issues and effective solutions for mining the dynamics of da ta streams in multi-dimensional space. The project will further advance the knowledge of the principles, methods, and applications of stream data mining in particular and data mining in general. ---------------------------------------------------------------------------- ---- MAIDS: Mining Alarming Incidents in Data Streams (with NCSA/UIUC) The MAIDS (Mining Alarming Incidents in Data Streams) project is aimed to pe rform a systematic investigation of stream data mining principles and algori thms, develop effective, efficient, and scalable methods for mining the dyna mics of data streams, and implement a system prototype for online multi-dime nsional stream data mining applications. This project will develop and imple ment some new and existing algorithms to discover changes, trends and evolut ion characteristics in data streams, construct clusters and classification m odels from data streams, and explore frequent patterns and similarities amon g data streams. The methods developed by this project will be applied to net work intrusion detection, telecommunication data flow analysis, credit card fraud prevention, Web click streams analysis, financial data trend predictio n, and other applications. ---------------------------------------------------------------------------- ---- Mining Database Structures and Linkages ---------------------------------------------------------------------------- ---- Spatiotemporal data mining 周志华个人主页： http://cs.nju.edu.cn/people/zhouzh ———————————————————————————————————— 周志华，男，1973年11月生。分别于1996年6月、1998年6月和2000年12月于 南京大学 计算机科学与技术系 获学士、硕士和博士学位。2001年1月起留校任教。2002年3月破格 晋升副教授，2003年11月被聘任为教授，2004年4月获博士生导师资格。现任 人工智能 教研室 主任。南京航天航空大学 兼职教授、澳大利亚 Deakin大学 名誉研究员。 目前主要从事机器学习、数据挖掘、模式识别、信息检索、神经计算、进化计算等领域 的研究工作。曾主持或参加过多项国家、省自然科学基金课题的研究工作。发表国际论 文 40余篇。现任国际刊物 Knowledge and Information Systems (Springer出版社) 副 编辑、Artificial Intelligence in Medicine (Elsevier出版社) 和 International Journal of Data Warehousing and Mining (Idea Group出版社) 编委，以及包括权威 刊物 Artificial Intelligence 和多种IEEE Transactions在内的二十余家国际刊物的 审稿专家，国家自然科学基金委员会信息科学部专家评审组成员，香港研究资助局、荷 兰科学研究基金会 等机构的课题申请评议专家。曾担任 第7届中国机器学习会议 组织 委员会主席、第9届中国机器学习会议 程序委员会共同主席、十余个国际会议程序委员 会委员并多次担任分组会议主席。现任中国计算机学会人工智能与模式识别专业委员会 副主任、中国人工智能学会理事、机器学习专业委员会秘书长、Rough集与软计算专业委 员会副主任，IEEE、IEEE计算机协会 会员。 曾获 微软中国研究院 首届“微软学者”奖 (1999)、首届江苏省优秀硕士学位论文奖( 2001)、 第七届中创软件人才奖 (2002)、江苏省“青蓝工程”优秀青年骨干教师计划 (2002)、第五届全国优秀博士学位论文奖 (2003)、教育部优秀青年教师资助计划 (200 3)、第九届霍英东青年教师基金 (2004)、第六届江苏省优秀科技工作者 (2004)等。20 03年获 国家杰出青年科学基金。 ——————————————————————————————————————
Office:
401B, MengMinwei Science Building II, Main Campus of Nanjing University Nanjing 210093, China Email: zhouzh@nju.edu.cn or zhouzh@lamda.nju.edu.cn
Research Interest
My current research interests mainly include machine learning, data mining, pattern recognition, information retrieval, neural computing, and evolutiona ry computing
Career
Professor
Department of Computer Science & Technology, Nanjing University, China Nov. 2003 - present
Associate Professor
Department of Computer Science & Technology, Nanjing University, China Mar. 2002 - Oct. 2003
Lecturer
Department of Computer Science & Technology, Nanjing University, China Jan. 2001 - Feb. 2002
Director
AI Lab, Department of Computer Science & Technology, Nanjing University, China May 2002 - present Visiting Professor Intelligent Information Processing Laboratory, Fudan University, China Mar.2004 - Apr. 2004
Visiting Scholar
Honorary FellowAcademy of Mathematics and Systems Sciences, CAS, China Mar.2003 - Apr. 2003 Visiting Research Fellow School of Computing & Mathematics, Deakin University, Australia this school was re-named as School of Information Technology in Jan.2003 Jun.2002 - Aug. 2002 Adjunct Professor Nanjing University of Aeronautics and Astronautics, China Jun.2004 - present Deakin University, Australia Nov.2002 - present Jon Kleinberg (link analysis, clustering, ...)
Jeffrey Ullman (rule mining, ...)
(his DM course is interesting, and it's said that he is writing a dm book)
S. Muthu Muthukrishnan: online algorithms for mining
Rajeev Motwani: online algorithms for mining
Rajeev Rastogi: classification, clustering, rule mining, ...
Christos Faloutsos: time-series mining, graph mining, ...
http://www-2.cs.cmu.edu/~christos/
Name Organization Country
Abraham Meidan WizSoft IsraelAchim Hoffmann University of New South Wales Australia Akira Shimazu Japan Advanced Institute of Science and Technology Japan Aleksandar Lazarević University of Minnesota USA Alok Choudhary Northwestern University USA AnHai Doan University Illinois Urbana USA Anoop Singhal Monmouth University USA Assaf Schuster Israel Institute of Technology Israel Bart Goethals University of Antwerp Belgium Benjamin W. Wah University of Illinois USA Bo Zhang Tsinghua University China Boonserm Kijsirikul Chulalongkorn University Thailand Carla E. Brodley Tufts University USA Charles Elkan University of California USA Chengqi Zhang University of Technology Sydney Australia Chris Ding Lawrence Berkeley National Laboratory USA Christian Borgelt Otto-von-Guericke-University of Magdeburg Germany Christopher W. Clifton Purdue University USA Daniel Boley University of Minnesota USA David J. Hand Imperial College UK David Skillicorn Queen's University Canada Deepak K. Agarwal AT&T Labs USA Dennis D. Cox Rice University USA Dharmendra S. Modha IBM Almaden Research Center USA Dimitrios Gunopulos University of California USA Dino Pedreschi University of Pisa Italy Djamel A. Zighed University Lyon 2 France Doheon Lee Korea Advanced Institute of Science and Technology Korea Domenico Talia Universit? della Calabria Italy Ee-Peng Lim University of Minnesota USA Eibe Frank University of Waikato New Zealand El-Ghazali Talbi Universit? des Sciences et Technologies de Lille France Ferenc Bodon Budapest University of Technology and Economics Hungary Floriana Esposito University of Bari Italy Gabriele Kern-Isberner University of Dortmunt Germany Geoffrey I. Webb Monash University Australia George Karypis University of Minnesota USA Graham J. Williams Australian Taxation Office Australia Greg Ridgeway RAND Statistics Group USA Gregory Piatetsky-Shapiro KDnuggets USA Guozhu Dong Wright State University USA G鰏ta Grahne Concordia University Canada Haesun Park University of Minnesota USA Haixun Wang IBM T. J. Watson Research Center USA Hannu T.T. Toivonen University of Helsinki Finland Heikki Mannila Helsinki University of Technology Finland Hillol Kargupta University of Maryland USA Hiroki Arimura Hokkaido University Japan Hiroshi Motoda Osaka University Japan Hiroyuki Kawano Nanzan University Japan Honghua Dai Deakin University Australia Hongjun Lu Hong Kong University of Science and Technology China Huan Liu Arizona State University USA Inderjit S. Dhillon University of Texas USA Jacob Kogan University of Maryland USA Jan Rauch University of Economics Czech Republic Jean-Fran鏾is Boulicaut Institut National des Sciences Appliqu閑s de Lyon France Jeffrey D. Ullman Stanford University USA Jes鷖 S. Aguilar-Ruiz University of Seville Spain Jian Pei University at Buffalo USA Jiawei Han University of Illinois USA Jinyan Li Institute for Infocomm Research Singapore Jo鉶 Gama University of Porto Portugal Johannes Gehrke Cornell University USA Jonathan Lawry University of Bristol UK Jongwoo Jeon Seoul National University Korea Katharina Morik University of Dortmund Germany Kenji Satou Japan Advanced Institute of Science and Technology Japan Kevin H. Knuth NASA Ames Research Center USA Krishnamoorthy Sivakumar Washington State University USA Kwang Hyung Lee Korea Advanced Institute of Science and Technology Korea Kyu-Young Whang Korea Advanced Institute of Science and Technology Korea Kyuseok Shim Seoul National University Korea Laurentiu Cristofor The University of Massachusetts Boston USA Ljupco Todorovski Jozef Stefan Institute Slovenia Luc De Raedt University of Freiburg Germany Manoranjan Dash Nanyang Technological University Singapore Marek Wojciechowski Poznan University of Technology Poland Marina Meila University of Washington USA Marko Grobelnik J. Stefan Institute Slovenia Masaru Kitsuregawa University of Tokyo Japan Masashi Shimbo Nara Institute of Science and Technology Japan Mehran Sahami Stanford University USA Michael C. Burl Jet Propulsion Laboratory USA Michael May Fraunhofer Institute for Autonomous Intelligent Systems Germany Michael R. Berthold University of Konstanz Germany Mich鑜e Sebag University Paris Orsay France Mihael Ankerst Allianz Germany Mikolaj Morzy Poznan University of Technology Poland Ming-Syan Chen National Taiwan University Taiwan Minos N. Garofalakis Bell Laboratories USA Mohammed J. Zaki Rensselaer Polytechnic Institute US Monique Noirhomme University of Notre Dame de la Parix Belgium Myoung Ho Kim Korea Advanced Institute of Science and Technology Korea Myra Spiliopoulou Humboldt-University of Berlin Germany Nada Lavrac Jozef Stefan Institute Slovenia Nicholas Cercone Dalhousie University Canada Nicolas Pasquier I3S Laboratory France Nina Mishra Hewlett-Packard Laboratories USA Ning Zhong Maebashi Institute of Technology Japan Olfa Nasraoui University of Louisville USA Pavel Brazdil University of Porto Portugal Peter A. Flach University of Bristol UK Peter Haddawy Asian Institute of Technology Thailand Peter Scheuermann Northwestern University USA Philip S. Yu IBM T.J. Watson Research Center USA Pradeep Dubey Stony Brook University USA Raghu Ramakrishnan University of Wisconsin USA Rajeev Motwani Stanford University USA Rajeev Rastogi Bell Laboratories USA Rao Kotagiri University of Melbourne Australia Robert Cooley KXEN USA Robert Grossman University of Illinios USA Roberto Bayardo IBM Almaden Research Center USA Ronen Feldman Bar-Ilan University Israel Rong Jin Michigan State University USA Rudy Setiono National University of Singapore Singapore S. Muthu Muthukrishnan Rutgers University USA Saharon Rosset IBM T.J. Watson Research Center USA San-Yih Hwang National Sun Yat-Sen University Taiwan Saso Dzeroski Jozef Stefan Institute Slovenia Se June Hong IBM T.J. Watson Research Center USA Seiji Yamada National Institute of Informatics Japan Sharad Mehrotra University of California USA Sharma Chakravarthy The University of Texas at Arlington USA Shashi Shekhar University of Minnesota USA Shawn Newsam CASC USA Shusaku Tsumoto Shimane University School of Medicine Japan Shyam Kumar Gupta Indian Institute of Technology Delhi India Simeon J. Simoff University of Technology Sydney Australia Siu Cheung Hui Nanyang Technological University Singapore Srinivasan Parthasarathy The Ohio State University USA Sudipto Guha University of Pennsylvania USA Sunita Sarawagi Indian Institute of Technology India Sven F. Crone Lancaster University Management School UK Tadinada Venkata Prabhakar Indian Institute of Technology Kanpur India Takahira Yamaguchi Keio University Japan Takao Terano Tsukuba University Japan Takashi Okada Kwansei Gakuin University Japan Takashi Washio Osaka University Japan Takeaki Uno National Institute of Informatics Japan Takehisa Yairi University of Tokyo Japan Tapio Elomaa Tampere University of Technology Finland Tetsuya Murai Hokkaido University Japan Tom Mitchell Carnegie Mellon University USA Tru Hoang Cao Ho Chi Minh City University of Technology Vietnam Tsau Young Lin San Jose State University USA Tu Bao Ho Japan Advanced Institute of Science and Technology Japan Vasilis Megalooikonomou Temple University USA Vikram Pudi International Institute of Information Technology India Vipin Kumar University of Minnesota USA Vo Ngoc Anh University of Melbourne Australia Walter Kosters Universiteit Leiden The Netherlands Wee Keong Ng Nanyang Technological University Singapore Wei Fan Columbia University USA Wenliang Du Syracuse University USA Werner Stuetzle University of Washington USA Wray Buntine Helsinki Institute for Information Technology Finland Wynne Hsu National University of Singapore Singapore Xindong Wu University of Vermont USA Yannis Manolopoulos Aristotle University of Thessaloniki Greece Yasuhiko Kitamura Kwansei Gakuin University Japan Yi Lin University of Wisconsin USA Yiyu Yao University of Regina Canada Yoon-Joon Lee Korea Advanced Institute of Science and Technology Korea Yoshiteru Nakamori Japan Advanced Institute of Science and Technology Japan Yuedong Wang University of California USA Yuji Matsumoto Nara Institute of Science and Technology Japan Zaiqing Nie Microsoft Research Asia China Zhi-Hua Zhou Nanjing University China Zoran Obradovic Temple University USA |
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