Call for Papers
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:
The authors shall omit their names from the submission. For formatting templates with author and institution information, simply replace all these information items 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 2019),” you might say “We extend Smith’s earlier work (Smith 2019) 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their own work which is not fundamental to understanding the paper, including prior versions (e.g., technical reports, unpublished internal documents) of the submitted paper.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 ” 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 should be named with care to ensure that author anonymity is not compromised by the file names. 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).
Algorithms and resources used in a paper should be described as completely as possible to allow reproducibility. This includes experimental methodology, empirical evaluations, and results. Authors are strongly encouraged to make their code and data publicly available whenever possible. In addition, authors are strongly encouraged to also report, whenever possible, results for their methods on publicly available datasets.
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. Manuscripts must be submitted electronically in the online submission system (https://www.wi-lab.com/cyberchair/2022/icdm22/scripts/submit.php?subarea=DM). We do not accept email submissions.
For diversity enhancement purposes, authors will be asked to complete an author demographic checklist at the time of paper submission (authors can choose not to disclose such information). These responses will be used to help the organizing committee understand the author body, as well as facilitate the “Women in Science Research Forum” initiative of the conference.
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.zhonghua.com/) 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. The exact format of the conference (in person, online, or hybrid) will be decided later.
ICDM 2022 : 22nd IEEE International Conference on Data Mining will take place in Orlando, FL, USA. It’s a 4 days event starting on Nov 30, 2022 (Wednesday) and will be winded up on Dec 03, 2022 (Saturday).
ICDM 2022 falls under the following areas: DATA MINING, MACHINE LEARNING, ARTIFICIAL INTELLIGENCE, etc. Submissions for this Conference can be made by Jun 10, 2022. Authors can expect the result of submission by Aug 31, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Oct 01, 2022 to the official website of the Conference.
Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.
Other Details of the ICDM 2022
Credits and Sources
| ICDM 2022 : 22nd IEEE International Conference on Data Mining