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22 та иш

Иш: ACHC: Associative Classifier Based on Hierarchical Clustering

  1. The WEKA data mining software

    Mark Hall, Eibe Frank, Geoffrey Holmes +3

    Мақола20097 иқтибос
    ABI

  2. CBC: An associative classifier with a small number of rules

    Houtao Deng, George C. Runger, Eugene Tuv +1

    Мақола20136 иқтибос
    ABI

  3. Building an associative classifier with multiple minimum supports

    Li-Yu Hu, Ya‐Han Hu, Chih‐Fong Tsai +2

    Мақола20166 иқтибос
    ABI

  4. Simple and Accurate Classification Method Based on Class Association Rules Performs Well on Well-Known Datasets

    Jamolbek Mattiev, Branko Kavšek

    Боб20196 иқтибос
    ABI

  5. UCI Machine Learning Repository

    Arthur Asuncion

    Мақола20076 иқтибос
    ABI

  6. New Associative Classification Method Based on Rule Pruning for Classification of Datasets

    Khairan Rajab

    Мақола20195 иқтибос
    ABI

  7. Finding Groups in Data

    Leonard Kaufman, Peter J. Rousseeuw

    Китоб19905 иқтибос
    ABI

  8. A comparative study of clustering methods

    Mohamed Zaït, Hammou Messatfa

    Мақола19975 иқтибос
    ABI

  9. Classification of association rules based on K-means algorithm

    Azzeddine Dahbi, Mohamed Mouhir, Youssef Balouki +1

    Мақола20165 иқтибос
    ABI

  10. A compact and understandable associative classifier based on overall coverage

    Jamolbek Mattiev, Branko Kavšek

    Мақола20205 иқтибос
    ABI

  11. FURIA: an algorithm for unordered fuzzy rule induction

    Jens Hühn, Eyke Hüllermeier

    Мақола20094 иқтибос
    ABI

  12. Distance based clustering of class association rules to build a compact, accurate and descriptive classifier

    Jamolbek Mattiev, Branko Kavšek

    МақолаData Mining Algorithms and ApplicationsComputer Science and Information Systems20204 иқтибос
    ABI

  13. Mining Clusters with Association Rules

    Walter A. Kosters, Elena Marchiori, Ard Oerlemans

    Боб19994 иқтибос
    ABI

  14. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    МақолаData Mining Algorithms and ApplicationsApplied Sciences20203 иқтибос
    ABI

  15. CMAC: Clustering Class Association Rules to Form a Compact and Meaningful Associative Classifier

    Jamolbek Mattiev, Branko Kavšek

    БобData Mining Algorithms and ApplicationsLecture notes in computer science20203 иқтибос
    ABI

  16. AN OVERVIEW OF COMBINATORIAL DATA ANALYSIS

    Phipps Arabie, Lawrence J. Hubert

    Боб19963 иқтибос
    ABI

  17. Fast Effective Rule Induction

    William W. Cohen

    Боб19953 иқтибос
    ABI

  18. Clustering association rules

    Brian Lent, A. Swami, Jennifer Widom

    Мақола20023 иқтибос
    ABI

  19. The power of decision tables

    Ron Kohavi

    Боб19952 иқтибос
    ABI

  20. BIRCH

    Tian Zhang, Raghu Ramakrishnan, Miron Livny

    Мақола19962 иқтибос
    ABI

  21. Ripple Down Rules

    Debbie Richards

    Боб20032 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI