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Работы, на которые ссылается эта работа

Работ: 22

Работа: ACHC: Associative Classifier Based on Hierarchical Clustering

  1. The WEKA data mining software

    Mark Hall, Eibe Frank, Geoffrey Holmes +3

    Статья2009Цитирований: 7
    ABI

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

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

    Статья2013Цитирований: 6
    ABI

  3. Building an associative classifier with multiple minimum supports

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

    Статья2016Цитирований: 6
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Глава2019Цитирований: 6
    ABI

  5. UCI Machine Learning Repository

    Arthur Asuncion

    Статья2007Цитирований: 6
    ABI

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

    Khairan Rajab

    Статья2019Цитирований: 5
    ABI

  7. Finding Groups in Data

    Leonard Kaufman, Peter J. Rousseeuw

    Книга1990Цитирований: 5
    ABI

  8. A comparative study of clustering methods

    Mohamed Zaït, Hammou Messatfa

    Статья1997Цитирований: 5
    ABI

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

    Azzeddine Dahbi, Mohamed Mouhir, Youssef Balouki +1

    Статья2016Цитирований: 5
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Статья2020Цитирований: 5
    ABI

  11. FURIA: an algorithm for unordered fuzzy rule induction

    Jens Hühn, Eyke Hüllermeier

    Статья2009Цитирований: 4
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    СтатьяData Mining Algorithms and ApplicationsComputer Science and Information Systems2020Цитирований: 4
    ABI

  13. Mining Clusters with Association Rules

    Walter A. Kosters, Elena Marchiori, Ard Oerlemans

    Глава1999Цитирований: 4
    ABI

  14. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    СтатьяData Mining Algorithms and ApplicationsApplied Sciences2020Цитирований: 3
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    ГлаваData Mining Algorithms and ApplicationsLecture notes in computer science2020Цитирований: 3
    ABI

  16. AN OVERVIEW OF COMBINATORIAL DATA ANALYSIS

    Phipps Arabie, Lawrence J. Hubert

    Глава1996Цитирований: 3
    ABI

  17. Fast Effective Rule Induction

    William W. Cohen

    Глава1995Цитирований: 3
    ABI

  18. Clustering association rules

    Brian Lent, A. Swami, Jennifer Widom

    Статья2002Цитирований: 3
    ABI

  19. The power of decision tables

    Ron Kohavi

    Глава1995Цитирований: 2
    ABI

  20. BIRCH

    Tian Zhang, Raghu Ramakrishnan, Miron Livny

    Статья1996Цитирований: 2
    ABI

  21. Ripple Down Rules

    Debbie Richards

    Глава2003Цитирований: 2
    ABI

  22. Без названия

    ДругоеЦитирований: 1
    ABI