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Data Mining and Knowledge Discovery EI PubMed AJ SCIE JST 中科院3区 JCR:Q2
发文量 1,285
被引量 56,166
影响因子(2023) 3.524

The premier technical publication in the field, Data Mining and Knowledge Discovery is a resource collecting relevant common methods and techniques and a forum for unifying the diverse constituent research communities. The journal publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications. Coverage includes: - Theory and Foundational Issues - Data Mining Methods - Algorithms for Data Mining - Knowledge Discovery Process - Application Issues. The premier technical journal focused on the theory, techniques and practice for extracting information from large databases. Publishes original technical papers in both the research and practice of data mining and knowledge discovery, surveys and tutorials of important areas and techniques, and detailed descriptions of significant applications.

  • 主办单位： SPRINGER
  • 出版地区： Netherlands
  • 出版周期： 双月刊
  • 别名： 数据挖掘与知识发现
  • 国际标准连续出版物号： ISSN 1384-5810
  • 创刊时间： 1997年
热门主题：

AlgorithmsMiningClusteringClassificationLearningData MiningMethodsExperimentalAPPROACHDiscoveryAlgorithmProblemTime SeriesPATTERNSFrameworkMethodRepresentationModelLargeAccuracy

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2025年03期
共：7篇

      不详

    • Mirzaie, MostafaBehkamal, BehshidAllahbakhsh, MohammadPaydar, SamadBertino, Elisa

    • Vombatkere, KaranGionis, AristidesTerzi, Evimaria

    • Hill, AlessandroGoo, KalenAgarwal, Puneet

    • Cabral, Eugenio F.Vinces, Braulio V. SanchezSilva, Guilherme D. F.Sander, JorgCordeiro, Robson L. F.

    • Silva, Vanessa FreitasSilva, Maria EduardaRibeiro, PedroSilva, Fernando

    • Zhang, MinLiao, XiaoWang, XinleiWang, XiaojuanJin, Lei

    • Biermann, HenrikMemmert, DanielPetersen, NiklasRaabe, Dominik

2025年03期

2025年03期

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