| Introduction |
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.
The 2006 IEEE International Conference on Data Mining (ICDM-06) will be jointly held with The 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI-06) and The 2006 IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT-06). The IEEE/WIC/ACM 2006 joint conferences are organized by Hong Kong Baptist University, and sponsored by IEEE Computer Society Technical Committee on Intelligent Informatics (TCII), Web Intelligence Consortium (WIC), and ACM-SIGART. The upcoming meeting in this conference series follows the great success of ICDM-01 held in California, USA in 2001, ICDM-02 held in Maebashi City, Japan in 2002, ICDM-03 held in Florida, USA, ICDM-04 held in Brighton, UK and ICDM-05 held in Louisiana, USA.
| Topics |
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: 数据挖掘研究院
| • | 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 |
| Important Dates |
| Workshop proposal submission: | April 10, 2006 |
|---|---|
| Electronic submission of full papers: | July 5, 2006 |
| Tutorial proposal submission: | July 15, 2006 |
| Notification of paper acceptance: | September 4, 2006 |
| Camera-ready of accepted papers: | September 29, 2006 |
| Workshops: | December 18, 2006 |
| Conference: | December 18 - 22, 2006 |
| Paper Submission |
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 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. 数据挖掘实验室
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, to be indexed by EI. 数据挖掘研究院
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. 数据挖掘研究院
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 IEEE Computer Society Press and indexed by EI, which will be available at the workshops. 数据挖掘研究院
Note: we will not have a separate workshop registration fee this year (i.e., conference registration covers everything). 数据挖掘研究院
| 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).
