Conference Information
ICDM 2024: International Conference on Data Mining
https://icdm2024.org/
Submission Date:
2024-06-14
Notification Date:
2024-09-06
Conference Date:
2024-12-09
Location:
Abu Dhabi, UAE
Years:
24
CCF: b   CORE: a*   QUALIS: a1   Viewed: 510796   Tracked: 492   Attend: 98

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 sharing original research results, as well as exchanging and disseminating 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, high-performance computing, and large models. 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.
    Advantages and potential limitations of data mining with large models.
    Applications of data mining in social sciences, physical sciences, engineering, life sciences, climate science, 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.
Last updated by Dou Sun in 2024-03-24
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
cCCF Transactions on High Performance Computing1.300Springer2524-4922
bData & Knowledge Engineering2.700Elsevier0169-023X
aIEEE Transactions on Knowledge and Data Engineering3.857IEEE1041-4347
Journal of Digital Imaging2.900Springer0897-1889
cJournal of Database Management2.121IGI Global1063-8016
Spatial Statistics2.100Elsevier2211-6753
bData Mining and Knowledge Discovery2.800Springer1384-5810
Crisis Communications Springer2194-9794
The Photogrammetric Record1.591Wiley-Blackwell0031-868X
Statistical Analysis and Data Mining John Wiley & Sons, Ltd1932-1872
Full NameImpact FactorPublisher
CCF Transactions on High Performance Computing1.300Springer
Data & Knowledge Engineering2.700Elsevier
IEEE Transactions on Knowledge and Data Engineering3.857IEEE
Journal of Digital Imaging2.900Springer
Journal of Database Management2.121IGI Global
Spatial Statistics2.100Elsevier
Data Mining and Knowledge Discovery2.800Springer
Crisis Communications Springer
The Photogrammetric Record1.591Wiley-Blackwell
Statistical Analysis and Data Mining John Wiley & Sons, Ltd
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