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22 ta ish

Ish: ACHC: Associative Classifier Based on Hierarchical Clustering

  1. The WEKA data mining software

    Mark Hall, Eibe Frank, Geoffrey Holmes +3

    Maqola20097 iqtibos
    ABI

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

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

    Maqola20136 iqtibos
    ABI

  3. Building an associative classifier with multiple minimum supports

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

    Maqola20166 iqtibos
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Bob20196 iqtibos
    ABI

  5. UCI Machine Learning Repository

    Arthur Asuncion

    Maqola20076 iqtibos
    ABI

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

    Khairan Rajab

    Maqola20195 iqtibos
    ABI

  7. Finding Groups in Data

    Leonard Kaufman, Peter J. Rousseeuw

    Kitob19905 iqtibos
    ABI

  8. A comparative study of clustering methods

    Mohamed Zaït, Hammou Messatfa

    Maqola19975 iqtibos
    ABI

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

    Azzeddine Dahbi, Mohamed Mouhir, Youssef Balouki +1

    Maqola20165 iqtibos
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Maqola20205 iqtibos
    ABI

  11. FURIA: an algorithm for unordered fuzzy rule induction

    Jens Hühn, Eyke Hüllermeier

    Maqola20094 iqtibos
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    MaqolaData Mining Algorithms and ApplicationsComputer Science and Information Systems20204 iqtibos
    ABI

  13. Mining Clusters with Association Rules

    Walter A. Kosters, Elena Marchiori, Ard Oerlemans

    Bob19994 iqtibos
    ABI

  14. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    MaqolaData Mining Algorithms and ApplicationsApplied Sciences20203 iqtibos
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    BobData Mining Algorithms and ApplicationsLecture notes in computer science20203 iqtibos
    ABI

  16. AN OVERVIEW OF COMBINATORIAL DATA ANALYSIS

    Phipps Arabie, Lawrence J. Hubert

    Bob19963 iqtibos
    ABI

  17. Fast Effective Rule Induction

    William W. Cohen

    Bob19953 iqtibos
    ABI

  18. Clustering association rules

    Brian Lent, A. Swami, Jennifer Widom

    Maqola20023 iqtibos
    ABI

  19. The power of decision tables

    Ron Kohavi

    Bob19952 iqtibos
    ABI

  20. BIRCH

    Tian Zhang, Raghu Ramakrishnan, Miron Livny

    Maqola19962 iqtibos
    ABI

  21. Ripple Down Rules

    Debbie Richards

    Bob20032 iqtibos
    ABI

  22. Sarlavhasiz

    Boshqa1 iqtibos
    ABI