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AISB event Bulletin Item

CFP: 8th IEEE International Conference on Data Mining (ICDM08)

ICDM '08: The 8th IEEE International Conference on Data Mining

December 15-19, 2008
 Pisa, Italy

Important Dates

 June 30, 2008         Deadline for tutorial proposals
 July 7, 2008          Deadline for paper submission
 September 15, 2008    Notification to authors
 October 7, 2008       Deadline for camera-ready copies
 December 15-19, 2008  Conference

Call for Papers

The IEEE International Conference on Data Mining series (ICDM) has
established itself as the world's premier research conference in data
mining, providing a leading forum for presentation of original
research results, as well as exchange and dissemination of innovative,
practical development experiences.  The conference covers all aspects of
data mining, including algorithms, software and systems, and
applications. In addition, ICDM 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 novel, high quality research
findings, and innovative solutions to challenging data mining
problems, the conference seeks to continuously advance the
state-of-the-art in data mining. Besides the technical program, the
conference will feature workshops, tutorials, panels, and the ICDM data
mining contest.

Paper Submissions

High quality papers in all data mining areas are solicited. Original
papers exploring new directions will receive especially careful
consideration. Papers that have already been accepted or are currently
under review for other conferences or journals will not be considered for
ICDM '08.

Paper submissions should be limited to a maximum of 10 pages in the IEEE
2-column format, the same as the camera-ready format (see the IEEE
Computer Society Press Proceedings Author Guidelines at ). All
papers will be reviewed by the Program Committee on the basis of technical
quality, relevance to data mining, originality,
significance, and clarity.
A double blind review process will be adopted.
Authors should avoid using identifying information in
the text of the paper.
A Submission Form to submit your work will be announced on the
ICDM '08 website.

Accepted papers will be published in the conference proceedings by the
IEEE Computer Society Press and accorded oral presentation times in the
main conference.
Submissions accepted as regular papers will be allocated 10 pages
in the proceedings. Submissions accepted as short papers will be
allocated 6 pages in the proceedings and will have a shorter
presentation time at the conference than regular papers.

A selected number of IEEE ICDM '08 accepted papers will be invited for
possible inclusion, in expanded and revised form, in the Knowledge and
Information Systems journal (
published by Springer-Verlag.

ICDM Best Paper Awards

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.
Strong, foundational results will be considered for the best research
paper award and application-oriented submissions will be
considered for the best application paper award.

Workshops and Tutorials

ICDM '08 will host short and long tutorials as well as workshops that
focus on new research directions and initiatives. All accepted
workshop papers will be included in a separate workshop proceedings
published by the IEEE Computer Society Press.

For further information on workshop submissions,
please visit the conference website.


ICDM'08 will host tutorials covering topics in data mining of interest to
the research community as well as application developers. The tutorials
will be part of the main conference technical program, and are free of
charge to the attendees of the conference.

We invite proposals for tutorials from active researchers and experienced
tutors. Ideally, a tutorial will cover the state-of-the-art research,
development and applications in a specific data mining direction, and
stimulate and facilitate future work. A tutorial should not mainly focus
on only the presenters' previous work. Tutorials on interdisciplinary
directions, novel and fast growing directions, and significant
applications are highly encouraged.

ICDM will provide an honorarium for each tutorial. It is possible,
depending on actual conference attendance, that the conference can
(partly) support travel and subsistence expenses for tutorial speakers.
Please provide an estimate for these expenses in your proposal if you are
expecting the conference to cover these expenses for you. We will assume
that the tutorial speakers will be able to cover these expenses from their
own sources if no estimate is included in their proposals.

A tutorial proposal should be formatted in the following sections.

1. Title

2. Abstract (up to 150 words)

3. Rationale of presenting the tutorial at ICDM'08 (up to 200 words)

4. Target audience and prerequisites (up to 50 words)

5. A list of forums and their time and locations if the tutorial or a
similar/highly related tutorial has been presented by the same author(s)
before, and highlight the similarity/difference between those and the one
proposed for ICDM'08 (up to 100 words for each entry)

6. A list of tutorials on the same/similar/highly related topics given by
other people, and highlight the difference between yours and theirs (up to
100 words for each entry)

7. A list of other tutorials given by the authors, please list the titles,
the presenters and the forums only.

8. Tutors' short bio and their expertise related to the tutorial (up to
100 words per tutor)

9. An outline of the tutorial in the form of a bullet list (up to 1 page)

10. Length of the tutorial: short (1.5-2 hours) or long (3-4 hours). If
you are flexible, please indicate in the outline the content that will not
be included if a short tutorial is given.

11. A list of up to 20 most important references that will be covered in
the tutorial

12. (Optional) URLs of the slides/notes of the previous tutorials given by
the authors, and any specific audio/vedio/computer requirements for the

Please kindly send your proposals to Arno Siebes ( and
Dino Pedreschi ( on or before *** June 30,
2008. ***

The selection results will be announced in late July.

The tutorial co-chairs,
Dino Pedreschi
Arno Siebes

ICDM Data Mining Contest

ICDM '08 will host a data mining contest to challenge researchers and
practitioners with a real practical data mining problem.
For further details on proposals and expression of interest, please see:

Topics of Interest

* Data mining foundations
 - Novel data mining algorithms in traditional areas (such as
    classification, regression, clustering, probabilistic modeling,
pattern discovery, and association analysis)
 - Models and algorithms for new, structured, data types, such as
    arising in chemistry, biology, environment, and other scientific
 - Developing a unifying theory of data mining
 - Mining sequences and sequential data
 - Mining spatial and temporal datasets
 - Mining textual and unstructured datasets
 - Distributed data mining
 - High performance implementations of data mining algorithms
 - Privacy- and anonymity-preserving data analysis

* Mining in emerging domains
 - Stream Data Mining
 - Mining moving object data, RFID data, and data from sensor networks -
Ubiquitous knowledge discovery
 - Mining multi-agent data
 - Mining and link analysis in networked settings: web, social and
    computer networks, and online communities
 - Mining the semantic web
 - Data mining in electronic commerce, such as recommendation,
    sponsored web search, advertising, and marketing tasks

* Methodological aspects and the KDD process
 - Data pre-processing, data reduction, feature selection, and
    feature transformation
 - Utility assessment, interestingness analysis, and post-processing -
Statistical foundations for robust and scalable data mining
 - Handling imbalanced data
 - Automating the mining process and other process related issues
 - Dealing with cost sensitive data and loss models
 - Human-machine interaction for the KDD process
 - Visual analytics for data mining
 - Integration of data warehousing, OLAP and data mining
 - Data mining query languages
 - Security and data integrity

* Integrated KDD applications, systems, and experiences
 - Bioinformatics, computational chemistry, ecoinformatics
 - Computational finance, online trading, and analysis of markets
 - Intrusion detection, fraud prevention, and surveillance
 - Healthcare, epidemic modeling, and clinical research
 - Customer relationship management
 - Telecommunications, network and systems management
 - Sustainable mobility and intelligent transportation systems


Conference Co-chairs:

 Franco Turini (KDD Lab, Univ. Pisa, Italy)
 Carlo Zaniolo (UCLA, USA)
 Naren Ramakrishnan (Virginia Tech, USA)

Program Committee Chairs:

 Fosca Giannotti (KDD Lab, ISTI-CNR, Italy)
 Dimitrios Gunopulos (UC Riverside, USA)

Vice Chairs:

 Gennady Andrienko (Fraunhofer Institute Autonomous Intelligent Systems)
Ricardo Baeza-Yates (Yahoo! Research Barcelona)
 Elena Baralis (Politecnico di Torino)
 Roberto Bayardo (Google, Inc.)
 Toon Calders (Eindhoven Technical University)
 Gautam Das (University of Texas at Arlington)
 Luc De Raedt (Leuven)
 Amol Deshpande (University of Maryland)
 Carlotta Domeniconi (George Mason University)
 Charles Elkan (University of California, San Diego)
 Tapio Elomaa (University of Helsinki)
 Wei Fan (IBM)
 Johannes Gehrke (Cornell University)
 Aris Gionis (Yahoo! Research Barcelona)
 Hillol Kargupta (University of Maryland)
 Eamonn Keogh (University of California  Riverside)
 Ravi Kumar (Yahoo! Research Silicon Valley)
 Laks V.S. Lakshmanan (University of British Columbia)
 Ling Liu, Georgia Institute of Technology)
 Nikos Mamoulis (University of Hong Kong)
 Giuseppe Manco (University of Calabria)
 Heikki Mannila (Helsinki University of Technology)
 Mirco Nanni (KDD Lab, ISTI  CNR)
 Srinivasan Parthasarathy (The Ohio State University)
 Jian Pei (Simon Fraser University)
 Rajeev Rastogi (Yahoo! Labs - Bangalore)
 Yucel Saygin (Sabanci University)
 Kyuseok Shim (KAIST)
 Yannis Theodoridis (University of Piraeus)
 Michalis Vazirgiannis (Athens Univ. of Economics & Business)
 Zhi-Hua Zhou (Nanjing University)

Steering Committee Chair:

 Xindong Wu (Univ. Vermont, USA)

Tutorials Chairs:

 Dino Pedreschi (KDD Lab, Univ. Pisa, Italy)
 Arno Siebes (Uthrecht Univ., The Netherlands)

Workshops Chairs:

 Francesco Bonchi (KDD Lab, ISTI-CNR, Italy)
 Bettina Berendt (Humbolt Univ. Berlin, Germany)

Award Chair:

 Katharina Morik (Univ. Dortmund, Germany)

Panels Chair:

 Jean-Francois Boulicaut (INSA Lyon, France)

Exhibit and Demo Chairs:

 Michail Vlachos (IBM T. J. Watson Research Center, USA)
 Haixun Wang (IBM T. J. Watson Research Center, USA)

Publicity Chairs:

 Maurizio Atzori (KDD Lab, ISTI-CNR, Italy)
 Yan-Nei Law (Bioinformatics Institute, Singapore)

Sponsorship Chairs:

 Antonio Gulli (, Italy)
 Raffaele Perego (HPC Lab, ISTI-CNR, Italy)

Local Arrangements Chairs:

 Chiara Renso (KDD Lab, ISTI-CNR, Italy)
 Tiziana Mazzone (KDD Lab, ISTI-CNR, Italy)

Local Arrangements Team:

 Miriam Baglioni, Michele Berlingerio, Andrea Mazzoni, Mirco Nanni,
Ruggero Pensa, Fabio Pinelli, Simone Puntoni, Salvatore Rinzivillo,
Salvatore Ruggeri, Roberto Trasarti (KDD Lab, Univ.Pisa and ISTI-CNR,

Finance Chair:

 Dino Pedreschi (KDD Lab, Univ. Pisa, Italy)

Further Information

surface address:
 via A. Moruzzi, 1
 56124 Pisa, Italy

 Phone: +39 050 3152999 - 3153000 - 3153001
 Fax: +39 050 3152040