Conference Information
ICDM 2019: International Conference on Data Mining
Submission Date:
Notification Date:
Conference Date:
Beijing, China
CCF: b   CORE: a*   QUALIS: a1   Viewed: 60298   Tracked: 237   Attend: 36

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 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

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 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 data quality, time-evolving networks, big data mining and analytics, cyber-physical systems, 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 (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.

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.

How to prepare your submissions

The authors shall omit their names from the submission. For formatting templates with author and institution information, simply replace all these information in the template by “Anonymous”.

In the submission, the authors’ should refer to their own prior work like the prior work of any other author, and include all relevant citations. This can be done either by referring to their prior work in the third person or referencing papers generically. For example, if your name is Smith and you have worked on clustering, instead of saying “We extend our earlier work on distance-based clustering (Smith 2005),” you might say “We extend Smith’s (Smith 2005) earlier work on distance-based clustering.” The authors shall exclude citations to their own work which is not fundamental to understanding the paper, including prior versions (e.g., technical reports, unpublished internal documents) of the submitted paper. Hence, do not write: “In our previous work [3]” as it reveals that citation 3 is written by the current authors. The authors shall remove mention of funding sources, personal acknowledgments, and other such auxiliary information that could be related to their identities. These can be reinstituted in the camera-ready copy once the paper is accepted for publication. The authors shall make statements on well-known or unique systems that identify an author, as vague in respect to identifying the authors as possible. The submitted files shall be named with care to ensure that author anonymity is not compromised by the file name. For example, do not name your submission “Smith.pdf”, instead give it a name that is descriptive of the title of your paper, such as “ANewApproachtoClustering.pdf” (or a shorter version of the same).

Accepted papers will be published in the conference proceedings by the IEEE Computer Society Press. All manuscripts are submitted as full papers and are reviewed based on their scientific merit. The reviewing process is confidential. There is no separate abstract submission step. There are no separate industrial, application, short paper or poster tracks during submission. Manuscripts must be submitted electronically in online submission system. We do not accept email submissions.
Best Paper Awards

Awards will be conferred at the conference to 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.

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.
Important Dates

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

    Workshop proposals: March 15, 2019
    Workshop notification: March 29, 2019
    Full paper submissions: June 5, 2019
    Demo and tutorial proposals: July 15, 2019
    Workshop paper submissions: August 7, 2019
    Conference paper, tutorial, demo notification: August 8, 2019
    Workshop paper notification: September 4, 2019
    Camera-ready deadline and copyright forms: September 8, 2019
    Conference dates: November 8 – 11, 2019

More Information

More information about ICDM 2019 is at

Last updated by Dou Sun in 2019-09-01
Acceptance Ratio
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Related Journals
CCFFull NameImpact FactorPublisherISSN
bData & Knowledge Engineering1.467ELSEVIER0169-023X
cJournal of Database Management2.121IGI Global1063-8016
bData Mining and Knowledge Discovery3.16Springer1384-5810
Crisis Communications Springer2194-9794
Statistical Analysis and Data Mining John Wiley & Sons, Ltd1932-1872
cNatural Language Engineering0.432Cambridge University Press1351-3249
Digital Signal Processing2.241ELSEVIER1051-2004
Signal, Image and Video Processing0.409Springer1863-1703
Annals of Software Engineering Springer1022-7091
bJournal of Automated Reasoning0.714Springer0168-7433
Full NameImpact FactorPublisher
Data & Knowledge Engineering1.467ELSEVIER
Journal of Database Management2.121IGI Global
Data Mining and Knowledge Discovery3.16Springer
Crisis Communications Springer
Statistical Analysis and Data Mining John Wiley & Sons, Ltd
Natural Language Engineering0.432Cambridge University Press
Digital Signal Processing2.241ELSEVIER
Signal, Image and Video Processing0.409Springer
Annals of Software Engineering Springer
Journal of Automated Reasoning0.714Springer