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ICDM '13: The 13th IEEE International Conference on Data Mining
Sponsored by the IEEE Computer Society
Dallas, Texas, US
8-11 December 2013.
http://icdm2013.rutgers.edu/
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The IEEE International Conference on Data Mining (ICDM) has
established itself as the world's premier research conference in data
mining. The 13th ICDM conference (ICDM '13) 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.
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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
* Mining spatio-temporal data
* Mining with data clouds and Big Data
* Link and graph mining
* 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
* Visual Analytics
* 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 '13.
Paper submissions should be limited to a maximum of 10 pages in the
IEEE 2-column format (see the IEEE Computer Society Press Proceedings
Author Guidelines at
http://www.computer.org/portal/web/cscps/formatting), and will be
triple-blind 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
'13 website to submit your paper. Accepted papers will be published
in the conference proceedings by the IEEE Computer Society Press.
A selected number of IEEE ICDM '13 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, (2) the best application
paper, and (3) the best student 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. A best student paper award will also be
given.
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Important Dates
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* Workshop proposals: April 2
* Workshop notification: April 30
* ICDM contest proposals: April 30
* Full paper submissions: June 21
* Demo and tutorial proposals: August 3
* Workshop paper submissions: August 3
* Conference paper, tutorial, demo notifications: September 20
* Workshop paper notifications: September 24
* Conference dates: December 8-11 (Sunday-Wednesday)
All paper submissions will be handled electronically. Detailed
instructions are provided on the conference home page at
http://icdm2013.rutgers.edu/
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Organizing Committee
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Conference Co-Chairs:
* Bhavani Thuraisingham, The University of Texas at Dallas
* Diane Cook, Washington State University
Program Committee Chairs:
* George Karypis, University of Minnesota
* Hui Xiong, Rutgers University
Steering Committee Chair:
* Xindong Wu, University of Vermont
Local Arrangements Chairs:
* Latifur Khan, The University of Texas at Dallas
* Ding-zhu Du, The University of Texas at Dallas
Web Chair:
* Spiros Papadimitriou, Rutgers University
Awards Committee Chair:
* Hillol Kargupta, University of Maryland - Baltimore County (UMBC)
Workshops Chairs:
* Wei Ding, University of Massachussets Boston
* Takashi Washio, Osaka University
PhD Forum Chairs:
* Aparna Varde, Worcester Polytechnic Institute
* Aris Gionis, Yahoo!
Panel Chair:
* Eamonn Keogh, University of California at Riverside
Registrations Chair:
* Heng Huang, University Texas at Arlington
Industry and Government Track Chairs:
* Chris Clifton, Purdue University
* Tamara Kolda, Sandia Labs
Finance Chair:
* Yan Huang, University of North Texas
Contest Chairs:
* Nitesh Chawla, University of Notre Dame
* Suresh Venkatasubramanian, University of Utah
Publicity Chairs:
* Charles Ling, Western University
* Svetha Venkatesh, Deakin University
Sponsorship Chair:
* Shusaku Tsumoto, Shimane University
Tutorials Chairs:
* Arindam Banerjee, University of Minnesota
* Xingquan (Hill) Zhu, University of Technology Sydney
Demo Chairs:
* Michael Mahoney, Stanford University
* Gabor Melli, PredictionWorks
Poster Chairs:
* Jie Tang, Tsinghua University
* Ping Luo, HP Labs
Student Travel Awards Chair:
* Diane Cook, Washington State University
For Further Information: Rhonda Walls <[log in to unmask]>
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