IEEE International Conference on Data Mining 2023

CALL FOR PAPERS – IEEE ICDM 2023
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23rd IEEE International Conference on Data Mining  (IEEE ICDM 2023)
December 1-4, 2023
Shanghai, China
http://www.cloud-conf.net/icdm2023/
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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. 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 ****

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 environments, multi-modal data mining, and heterogeneous data integration and mining.

**** IMPORTANT DATES ****

Paper submission: Jul. 1, 2023
Author notification: Sep. 1, 2023
Camera-Ready: Oct. 15, 2023
Registration: Oct. 15, 2023
Conference date: Dec. 1 – Dec. 4, 2023

**** SUBMISSION GUIDELINES ****

Authors are invited to submit original papers, which have not been published elsewhere and which are not currently under consideration for another journal, conference or workshop.

Paper submissions should be limited to a maximum of ten (10) pages, in the IEEE 2-column format (https://www.ieee.org/conferences/publishing/templates.html), 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. Further submission guidelines are given at http://www.cloud-conf.net/icdm2023/call-for-papers.html

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. 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 the online submission system ( https://www.wi-lab.com/cyberchair/2023/icdm23/scripts/submit.php?subarea=DM). We do not accept email submissions.

Authors must complete a reproducibility checklist at the time of paper submission (the questions in PDF format)[https://www.cs.mcgill.ca/~jpineau/ReproducibilityChecklist-v2.0.pdf]. Authors are strongly recommended to start thinking about these questions already when writing the paper and to fill in the questionnaire well in time before the submission deadline. These responses will become part of each paper submission and will be shared with the area chairs and/or reviewers to help them in the evaluation process. Authors are encouraged to include in their papers all technical details (proofs, descriptions of assumptions, algorithm pseudocode) as well as information about each reproducibility criterion, as appropriate. Reviewers will be asked to assess the degree to which the results reported in a paper are reproducible, and this assessment will be weighed when making final decisions about each paper.

**** 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 (http://kais.bigke.org/) published by Springer.

**** ATTENDANCE ****

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. The exact format of the conference (in person, online, or hybrid) will be decided later.

**** COMMITTEE ****

HONORARY GENERAL CHAIR
Ruqian Lu, Academician, Chinese Academy of Sciences, China

GENERAL CHAIRS
Meikang Qiu, Dakota State University, USA
Witold Pedrycz, University of Alberta, Canada

PROGRAM COMMITTEE CHAIRS
Guihai Chen, Shanghai Jiao Tong University, China
Latifur Khan, University of Texas at Dallas, USA

STEERING COMMITTEE CHAIR
Xindong Wu, Hefei University of Technology, China

WORKSHOPS CHAIRS
Jihe Wang, Northwestern Polytechnical University, China
Younghe Park, San Jose State University, USA
Christan Grant, University of Florida, USA

PUBLICITY CHAIRS
Zhihui Lu, Fudan University, China
Giovanna Castellano, University of Bari, Italy
Md Liakat Ali, Rider University, USA

LOCAL CHAIRS
Mingsong Chen, East China Normal University, China

**** CONTACTS ****
For queries regarding this call, please contact: ICDM2023Chairs@gmail.com

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