[Apologies if you receive this more than once] ================================================================== Call for Papers ICDM '06: The 6th IEEE International Conference on Data Mining Hong Kong Convention and Exhibition Centre, Hong Kong, China, 18-22 December 2006 Sponsored by the IEEE Computer Society Co-Organized With Hong Kong Baptist University (HKBU) University/Corporate Sponsors Hong Kong Baptist University (HKBU) Microsoft Corp. http://www.comp.hkbu.edu.hk/iwi06/ (Papers Due: 9 July 2006) Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press that is indexed by EI. =================================================================== The IEEE International Conference on Data Mining (ICDM) has established itself as the world's premier research conference in data mining. The 6th ICDM conference (ICDM '06) provides a premier forum for the dissemination of innovative, practical development experiences as well as original research results in data mining, spanning applications, algorithms, software and systems. The conference draws researchers and application developers from a wide range of data mining related areas such as statistics, machine learning, pattern recognition, databases and data warehousing, data visualization, knowledge-based systems and high performance computing. By promoting high quality and novel research findings, and innovative solutions to challenging data mining problems, the conference seeks to continuously advance the state of the art in data mining. As an important part of the conference, the workshops program will focus on new research challenges and initiatives, and the tutorials program will cover emerging data mining technologies and the latest developments in data mining. The ICDM '06 conference will be co-located with the IEEE/WIC/ACM International Joint Conference on Web Intelligence (WI) and Intelligent Agent Technology (IAT) for providing synergism among the three research areas. It will provide opportunities for technical collaboration beyond that of previous conferences. The three conferences will have a joint opening, keynote, reception, and banquet. Attendees only need to register for one conference and can attend workshops, sessions and tutorials across the three conferences. We are also planning a joint panel and joint paper sessions that discuss common problems in the three areas. +++++++++++++++++++ Topics of Interest +++++++++++++++++++ Topics related to the design, analysis and implementation of data mining theory, systems and applications are of interest. These include, but are not limited to the following areas: * Foundations of data mining * Data mining and machine learning algorithms and methods in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis), and in new areas * Mining text and semi-structured data, and mining temporal, spatial and multimedia data * Mining data streams * Pattern recognition and trend analysis * Collaborative filtering/personalization * Data and knowledge representation for data mining * Query languages and user interfaces for mining * Complexity, efficiency, and scalability issues in data mining * Data pre-processing, data reduction, feature selection and feature transformation * Post-processing of data mining results * Statistics and probability in large-scale data mining * Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining * Integration of data warehousing, OLAP and data mining * Human-machine interaction and visual data mining * High performance and parallel/distributed data mining * Quality assessment and interestingness metrics of data mining results * Security, privacy and social impact of data mining * Data mining applications in bioinformatics, electronic commerce, Web, intrusion detection, finance, marketing, healthcare, telecommunications and other fields +++++++++++++++++++++++++++++++++++++++++++++++++++ Conference Publications and ICDM Best Paper Awards +++++++++++++++++++++++++++++++++++++++++++++++++++ High quality papers in all data mining areas are solicited. Original papers exploring new directions will receive especially careful and supportive reviews. Papers that have already been accepted or are currently under review for other conferences or journals will not be considered for publication at ICDM '06. Paper submissions should be limited to a maximum of 12 pages in the IEEE 2-column format (see the IEEE Computer Society Press Proceedings Author Guidelines at http://www.computer.org/portal/pages/ieeecs/publications/cps/final/icdm2005.html), and will be reviewed by the Program Committee on the basis of technical quality, relevance to data mining, originality, significance, and clarity. Please use the Submission Form on the ICDM '06 website to submit your paper. Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press that is indexed by EI. A selected number of IEEE ICDM '06 accepted papers will be invited for possible inclusion, in an expanded and revised form, in the Knowledge and Information Systems journal (http://www.cs.uvm.edu/~kais/) published by Springer-Verlag. IEEE ICDM Best Paper Awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best application paper. Application-oriented submissions will be considered for the best application paper award. ++++++ Demos ++++++ The demonstration session for ICDM is planned to be a research-oriented demonstration; submission will be as a demonstration option associated with regular paper submission. Note: For ICDM '06, we will NOT have an Industry/Demo-Track paper submission. However, a full paper submissions will be asked to specify if they would like to give a demonstration; choice of demonstrations (while utilizing information from the regular reviewing process) will be selected based on value as a demonstration. We are planning to arrange the Demo session in the afternoon of Dec 19 (before and during the conference reception), jointly with the WI-IAT'06 Demo session. ++++++++++ Workshops ++++++++++ As an important part of the conference, the workshop program will focus on new research challenges and initiatives. All papers accepted for workshops will be included in the Workshop Proceedings published by the IEEE Computer Society Press that is indexed by EI, which will be available at the workshops. Note: we will not have a separate workshop registration fee this year (i.e., conference registration covers everything). Accepted Workshops 1. ICDM 2006 Workshop on Ontology Mining and Knowledge Discovery from Semistructured Documents 2. ICDM 2006 Workshop on Data Mining in Bioinformatics 3. ICDM 2006 Workshop on Mining Complex Data 4. ICDM 2006 Workshop on Mining Spatial and Spatio-temporal Data 5. ICDM 2006 Workshop on Foundation of Data Mining and Novel Techniques in High Dimensional Structural and Unstructured Data 6. ICDM 2006 Workshop on Privacy Aspects of Data Mining 7. ICDM 2006 Workshop on Data Mining for Design and Marketing 8. ICDM 2006 Workshop on Mining Stream/Evolving Data 9. ICDM 2006 Workshop on Risk Mining 10. ICDM 2006 Workshop on Reliability Issues in Knowledge Discovery 11. ICDM 2006 Workshop on Data Mining and Wireless Sensor Networks 12. ICDM 2006 Workshop on Optimization-based Data Mining Techniques with Applications For more information, please visit the conference website at http://www.comp.hkbu.edu.hk/~wii06/. ++++++++++ Tutorials ++++++++++ ICDM'06 will include tutorials providing in-depth background on subjects that are of broad interest to the data mining community. Both short (2 hours) and long (half day) tutorials will be considered. The tutorials will be part of the main conference technical program. Note: we will not have a separate tutorials registration fee this year (i.e., only one conference registration covers everything). ++++++++++++++++ Important Dates ++++++++++++++++ Electronic submission of full papers: July 9, 2006 Tutorial proposal submission: July 5, 2006 Notification of paper acceptance: September 4, 2006 Camera-ready copies of accepted papers: September 29, 2006 Workshops: December 18, 2006 Conference: December 19-22, 2006 All paper submissions will be handled electronically. Detailed instructions are provided on the conference home page at http://www.comp.hkbu.edu.hk/~wii06/icdm/. Conference Co-Chairs: * Jiming Liu, Hong Kong Baptist University, HK * Benjamin Wah, University of Illinois at Urbana-Champaign, USA Program Committee Chairs: * Chris Clifton, Purdue University, USA * Ning Zhong, Maebashi Institute of Technology, Japan Local Arrangements Chair: * Yiu-Ming Cheung, Hong Kong Baptist University, HK Workshops Chair: * Shusaku Tsumoto, Shimane University, Japan Tutorials Chair: * Eamonn Keogh, University of California at Riverside, USA Panels Chair: * Yong Shi, Chinese Academy of Sciences, China Demo Chairs: * Kenichi Yoshida, University of Tsukuba, Japan * Ubbo Visser, University of Breman, Germany Publicity Chairs: * Marcin Szczuka, Warsaw University, Poland * Guoyin Wang, Chongqing University of Posts and Telecommunications, China * Hui Xiong, Rutgers University, USA Sponsorship Chairs: * Man-chung Chan, Hong Kong Polytechnic University, HK * Einoshin Suzuki, Kyushu University, Japan * Hongjin Yang, Chinese Academy of Sciences, China Proceedings Chair: * Xindong Wu, University of Vermont, USA Program Vice Co-chairs: * Aristides Gionis, University of Helsinki, Finland * Qiang Yang, Hong Kong University of Science and Technology * Naren Ramakrishnan, Virginia Tech, USA * Howard Hamilton, University of Regina, Canada * Rosa Meo, Universit` degli Studi di Torino, Italy * Hiroki Arimura, Hokkaido University, Japan * David Cheung, University of Hong Kong * Yves Kodratoff, Universite Paris-Sud, France * Philip Chan, Florida Institute of Technology, USA * Shichao Zhang, University of Technology, Sydney, Australia * Alex Tuzhilin, New York University, USA * Zhi-Hua Zhou, Nanjing University, China * Tu Bao Ho, JAIST, Japan ICDM Steering Committee: * Max Bramer, University of Portsmouth (UK) * Nick Cercone, Dalhousie University (Canada) * Ramamohanarao Kotagiri, University of Melbourne (Australia) * Vipin Kumar, University of Minnesota (USA) * Katharina Morik, University of Dortmund (Germany) * Gregory Piatetsky-Shapiro, KDnuggets (USA) * Benjamin W. Wah, University of Illinois, Urbana-Champaign (USA) * Xindong Wu (Chair), University of Vermont (USA) * Philip S. Yu, IBM T.J. Watson Research Center (USA) * Ning Zhong, Maebashi Institute of Technology (Japan) Further Information: Yiuming Cheung Hong Kong Baptist University, HK E-mail: ymc@Comp.HKBU.Edu.HK