ICDM '08: The 8th IEEE International Conference on Data Mining
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December 15-19, 2008
Pisa, Italy
http://icdm08.isti.cnr.itImportant Dates
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
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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
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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.
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 (
http://www.cs.uvm.edu/~kais/) published
by Springer-Verlag.
ICDM Best Paper Awards
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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
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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.
ICDM Data Mining Contest
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A call for organizing a data mining contest will be issued to
challenge researchers and practitioners with a real practical data
mining problem.
Topics of Interest
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* 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
domains
- 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 and visual 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)
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:
Haixun Wang (IBM T. J. Watson Research Center, USA)
Michail Vlachos (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 (
Ask.com, Italy)
Raffaele Perego (HPC Lab, ISTI-CNR, Italy)
Local Arrangements Chair:
Chiara Renso (KDD Lab, ISTI-CNR, Italy)
Local Arrangements Team: Miriam Baglioni, Michele Berlingerio, Tiziana
Mazzone, Andrea Mazzoni, Mirco Nanni, Ruggero Pensa, Fabio Pinelli,
Simone Puntoni, Salvatore Rinzivillo, Salvatore Ruggeri, Roberto
Trasarti (KDD Lab, Univ.Pisa and ISTI-CNR, Italy)
Finance Chair:
Dino Pedreschi (KDD Lab, Univ. Pisa, Italy)
Further Information
*******************
icdm08-chair@isti.cnr.it icdm08-organizer@isti.cnr.itsurface address:
IEEE - ICDM08
KDD Lab, ISTI-CNR
via A. Moruzzi, 1
56124 Pisa, Italy
Phone: +39 050 3152999 - 3153000 - 3153001
Fax: +39 050 3152040
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