IEEE ICDM 2017: First call for papers

ICDM 2017: The 17th IEEE International Conference on Data Mining
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November 18 - 21, 2017
New Orleans USA

http://icdm2017.bigke.org/


Important dates
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* Workshop Proposals: March 2, 2017
* Workshop Notifications: March 29, 2017
* Full Paper Submissions: June 5, 2017
* Tutorial Proposals: July 13, 2017
* Conference paper and Tutorial Notifications: August 15, 2017
* Workshop paper submissions: August 7, 2017
* Workshop paper notifications: September 4, 2017
* Conference: November 18 -21, 2017


The IEEE International Conference on Data Mining (ICDM) has established
itself as the world’s premier research conference in data mining. It
provides an international forum for presentation of original research
results, as well as exchange and dissemination of innovative and practical
development experiences. The conference covers all aspects of data mining,
including algorithms, software, systems, and applications. ICDM draws
researchers, application developers, and practitioners from a wide range of
data mining related areas such as statistics, machine learning, pattern
recognition, databases, 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 advance the
state-of-the-art in data mining.


Topics of Interest
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Topics of interest include, but are not limited to:
* Foundations, algorithms, models and theory of data mining, including big
data mining.
* Machine learning and statistical methods for data mining.
* Mining from heterogeneous data sources, including text, semi-structured,
spatio-temporal, streaming, graph, web, and multimedia data.
* Data mining systems and platforms, and their efficiency, scalability,
security and privacy.
* Data mining for modeling, visualization, personalization, and
recommendation.
* Data mining for cyber-physical systems and complex, time-evolving
networks.
* Applications of data mining in social sciences, physical sciences,
engineering, life sciences, web, marketing, finance, precision medicine,
health informatics, and other domains.

We particularly encourage submissions in emerging topics of high importance
such as data quality, time-evolving networks, big data mining and
analytics, cyber-physical systems, and heterogeneous data integration and
mining.


Submission Guidelines
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Paper submissions should be limited to a maximum of ten (10) pages, in the
IEEE 2-column format (link), including the bibliography and any possible
appendices. Submissions longer than 10 pages will be rejected without
review. All submissions will be triple-blind reviewed by the Program
Committee on the basis of technical quality, relevance to scope of the
conference, originality, significance, and clarity. The following sections
give further information for authors.


Repeatability
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Every effort should be made to enable the code and the datasets (or their
closest publicly available equivalents) and all relevant parameter
specifications available to reviewers and readers so that the results can
be independently replicated. While we cannot expect *every* dataset used to
be made public, it is in the best interest of the authors to make as many
as possible available (in the worst case, a sampled or an anonymized
version). To retain anonymity of submissions, any such additional material
should be anonymized as well, and be published on an anonymous website
(such as DropBox). The repeatability factor will play an important role in
the reviewers’ assessment of the submission.


Best Paper Awards
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Awards will be conferred at the conference on the authors of the best paper
and the best student paper. A selected number of best papers will be
invited for possible inclusion, in an expanded and revised form, in the
Knowledge and Information Systems journal published by Springer.


Attendance
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ICDM is a premier forum for presenting and discussing current research in
data mining. Therefore, at least one author of each accepted paper must
complete the conference registration and present the paper at the
conference, in order for the paper to be included in the proceedings and
conference program.


Organization
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General Co-Chairs:
George Karypis (University of Minnesota)
Lucio Miele (LSHUHSC, New Orleans)

Program Co-Chairs:
Vijay Raghavan (University of Louisiana at Lafayette)
Srinivas Aluru (Georgia Institute of Technology)

Steering Committee Chair:
Xindong Wu (University of Louisiana at Lafayette)

Tutorial Co-Chairs:
Huzefa Rangwala (George Mason University)
Jianyong Wang (Tsinghua University)
Ranga Raju Vatsavai (North Carolina State University)

Workshop Co-Chairs:
Xia Ning (Indiana University - Purdue University)
Guozhu Dong (Wright State University)
Raju Gottumukkala (University of Louisana at Lafayette)

Panel Co-Chairs:
Naren Ramakrishnan (Virginia Tech)
Myra Spiliopoulou (Otto von Guericke University)

Publicity Co-Chairs:
Hong Cheng (Chinese University of Hong Kong)
Vagelis Papalexakis (University of California, Riverside)
Eirini Ntoutsi (Leibniz University Hannover)

Local Arrangement Co-Chairs:
Karen Zhang (Xavier University and Tulane Cancer Center)
Chindo Hicks (LSHUHSC, New Orleans)

Local Arrangement Committee Members:
Tom Johnsten (University of South Alabama)
SeungJong (Jay) Park (Louisiana State University)
Steve Noel (MITRE)

Finance Chair:
Shengli Victor Sheng (University of Central Arkansas)

Sponsorship Co-Chairs:
Jiabin Zhao (CISCO)
Aris Gkoulalas (IBM)

Web Chair:
Satya Katragadda (University of Louisiana at Lafayette)