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Иш: The Effect of “Directness” of the Distance Metric to Produce Compact and Accurate Associative Classification Models

  1. A new approach to classification based on association rule mining

    Guoqing Chen, Hongyan Liu, Yu Lan +2

    Мақола20057 иқтибос
    ABI

  2. The WEKA data mining software

    Mark Hall, Eibe Frank, Geoffrey Holmes +3

    Мақола20097 иқтибос
    ABI

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

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

    Мақола20136 иқтибос
    ABI

  4. C4.5: Programs for Machine Learning

    J. R. Quinlan

    Китоб19926 иқтибос
    ABI

  5. Building an associative classifier with multiple minimum supports

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

    Мақола20166 иқтибос
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Боб20196 иқтибос
    ABI

  7. Integrating classification and association rule mining

    Bing Liu, Wynne Hsu, Yiming Ma

    Мақола19985 иқтибос
    ABI

  8. Finding Groups in Data

    Leonard Kaufman, Peter J. Rousseeuw

    Китоб19905 иқтибос
    ABI

  9. A comparative study of clustering methods

    Mohamed Zaït, Hammou Messatfa

    Мақола19975 иқтибос
    ABI

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

    Azzeddine Dahbi, Mohamed Mouhir, Youssef Balouki +1

    Мақола20165 иқтибос
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Мақола20205 иқтибос
    ABI

  12. MMAC: A New Multi-Class, Multi-Label Associative Classification Approach

    Fadi Thabtah, Peter Cowling, Yonghong Peng

    Мақола20054 иқтибос
    ABI

  13. MCAR: multi-class classification based on association rule

    Fadi Thabtah, Peter Cowling, Yonghong Peng

    Мақола20054 иқтибос
    ABI

  14. FURIA: an algorithm for unordered fuzzy rule induction

    Jens Hühn, Eyke Hüllermeier

    Мақола20094 иқтибос
    ABI

  15. Efficient and Effective Clustering Methods for Spatial Data Mining

    Raymond T. Ng, Jiawei Han

    Мақола19944 иқтибос
    ABI

  16. Distance based clustering of association rules

    Gunjan Gupta, Alexander L. Strehl, Joydeep Ghosh

    Мақола19994 иқтибос
    ABI

  17. 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

  18. Mining Clusters with Association Rules

    Walter A. Kosters, Elena Marchiori, Ard Oerlemans

    Боб19994 иқтибос
    ABI

  19. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    МақолаData Mining Algorithms and ApplicationsApplied Sciences20203 иқтибос
    ABI

  20. Combining Naive Bayes and Decision Tables

    Mark A. Hall, Eibe Frank

    Мақола20083 иқтибос
    ABI

  21. An Optimized Associative Classifier for Incremental Data Based On Non-Trivial Data Insertion

    R. Ramesh, V. Saravanan, R. Manikandan

    Мақола20193 иқтибос
    ABI

  22. BIRCH

    Tian Zhang, Raghu Ramakrishnan, Miron Livny

    Мақола19963 иқтибос
    ABI

  23. 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

  24. Machine Learning: Proceedings of the Fifteenth International Conference

    Jude Shavlik

    Ҳисобот19982 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа2 иқтибос
    ABI