CFP: IEEE ICDM'06

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.

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Topics of Interest
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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

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Conference Publications and ICDM Best Paper Awards
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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/icdm2...),
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,
to be 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.

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Demos
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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.

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Workshops
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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, to be 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/.

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Tutorials
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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).

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Important Dates
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Electronic submission of full papers: July 5, 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
* Zhihua 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