Conference Information
ICDM 2020: International Conference on Data Mining
http://icdm2020.bigke.org/
Submission Date:
2020-06-11 Extended
Notification Date:
2020-08-20
Conference Date:
2020-11-17
Location:
Sorrento, Italy
Years:
20
CCF: b   CORE: a*   QUALIS: a1   Viewed: 81379   Tracked: 283   Attend: 42

Conference Location
Call For Papers
Aims and Scope

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 big data, deep learning, pattern recognition, statistical and machine learning, 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

Topics of interest include, but are not limited to:

·        Foundations, algorithms, models and theory of data mining, including big data mining.
·        Deep 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 modelling, 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 ethical data analytics, automated data analytics, data-driven reasoning, interpretable modeling, modeling with evolving environment, cyber-physical systems, multi-modality data mining, and heterogeneous data integration and mining.

Submission Guidelines

Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format, 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.

Triple Blind Submission Guidelines

Since 2011, ICDM has imposed a triple blind submission and review policy for all submissions. Authors must hence not use identifying information in the text of the paper and bibliographies must be referenced to preserve anonymity. Any papers available on the Web (including Arxiv) no longer qualify for ICDM submissions, as their author information is already public.

What is Triple Blind Reviewing?

The traditional blind paper submission hides the referee names from the authors, and the double-blind paper submission also hides the author names from the referees. The triple-blind reviewing further hides the referee names among referees during paper discussions before their acceptance decisions. The names of authors and referees remain known only to the PC Co-chairs, and the author names are disclosed only after the ranking and acceptance of submissions are finalized. It is imperative that all authors of ICDM submissions conceal their identity and affiliation information in their paper submissions. It does not suffice to simply remove the author names and affiliations from the first page, but also in the content of each paper submission.

All deadlines are at 11:59PM Pacific Daylight Time.

Workshop proposals: March 2, 2020
Workshop notification: March 30, 2020
Full paper submissions: June 11, 2020
Contest requirement specification and sample data available: June 12, 2020
Contest team registration begins. Data sets are available: June 26, 2020
Demo and tutorial proposals: July 10, 2020
Contest final submission deadline: 23:59, July 31, 2020.
Workshop paper submissions: August 24, 2020
Conference paper, tutorial, demo notification: August 20, 2020
Contest notifications to shortlisted teams for web applications: 23:59, August 10, 2020
Contest finalist notifications: August 28, 2020
Workshop paper notification: September 17, 2020
Camera-ready deadline and copyright forms: September 24, 2020
Conference dates: November 17-20, 2020
Contest prize presentations at ICDM 2020: November 19, 2020
Last updated by Tongya Zheng in 2020-05-14
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
201472714219.5%
201380915919.7%
201275615120%
200759211920.1%
200677615219.6%
200550114128.1%
2004451398.6%
20035015811.6%
200236912132.8%
20013657219.7%
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Related Journals
CCFFull NameImpact FactorPublisherISSN
bData & Knowledge Engineering1.583Elsevier0169-023X
aIEEE Transactions on Knowledge and Data Engineering3.857IEEE1041-4347
Journal of Digital Imaging2.572Springer0897-1889
cJournal of Database Management2.121IGI Global1063-8016
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Crisis Communications Springer2194-9794
The Photogrammetric Record1.591Wiley-Blackwell0031-868X
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Full NameImpact FactorPublisher
Data & Knowledge Engineering1.583Elsevier
IEEE Transactions on Knowledge and Data Engineering3.857IEEE
Journal of Digital Imaging2.572Springer
Journal of Database Management2.121IGI Global
Data Mining and Knowledge Discovery3.16Springer
Crisis Communications Springer
The Photogrammetric Record1.591Wiley-Blackwell
Statistical Analysis and Data Mining John Wiley & Sons, Ltd
Journal of Digital Learning in Teacher EducationTaylor & Francis
Digital Signal Processing2.792Elsevier
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