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Hybrid Event

18th - 19th October 2025 | Tokyo, Japan

International Conference on Data Mining and Knowledge Discovery (ICDMKD - 25)

96

Days

15

Hrs

07

Min

02

Sec

Call For Paper

Multidisciplinary Studies

    • Foundations of data mining
    • Data mining and machine learning algorithms and methods in traditional areas (such as classification, regression, clustering, probabilistic modeling, and association analysis), and in new areas
    • Mining text and semi-structured data, and mining temporal, spatial and multimedia data
    • Mining data streams
    • Mining spatio-temporal data
    • Mining with data clouds and Big Data
    • Link and graph mining
    • Pattern recognition and trend analysis
    • Collaborative filtering/personalization
    • Data and knowledge representation for data mining
    • Query languages and user interfaces for mining
    • Complexity, efficiency, and scalability issues in data mining
    • Data pre-processing, data reduction, feature selection and feature transformation
    • Post-processing of data mining results
    • Statistics and probability in large-scale data mining
    • Soft computing (including neural networks, fuzzy logic, evolutionary computation, and rough sets) and uncertainty management for data mining
    • Integration of data warehousing, OLAP and data mining
    • Human-machine interaction and visual data mining
    • High performance and parallel/distributed data mining
    • Quality assessment and interestingness metrics of data mining results
    • Visual Analytics
    • Security, privacy and social impact of data mining
    • Data mining applications in bioinformatics, electronic commerce, Web, intrusion detection, finance, marketing, healthcare, telecommunications and other fields