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41 ta ish

Ish: 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

    Maqola20057 iqtibos
    ABI

  2. The WEKA data mining software

    Mark Hall, Eibe Frank, Geoffrey Holmes +3

    Maqola20097 iqtibos
    ABI

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

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

    Maqola20136 iqtibos
    ABI

  4. C4.5: Programs for Machine Learning

    J. R. Quinlan

    Kitob19926 iqtibos
    ABI

  5. Building an associative classifier with multiple minimum supports

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

    Maqola20166 iqtibos
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Bob20196 iqtibos
    ABI

  7. Integrating classification and association rule mining

    Bing Liu, Wynne Hsu, Yiming Ma

    Maqola19985 iqtibos
    ABI

  8. Finding Groups in Data

    Leonard Kaufman, Peter J. Rousseeuw

    Kitob19905 iqtibos
    ABI

  9. A comparative study of clustering methods

    Mohamed Zaït, Hammou Messatfa

    Maqola19975 iqtibos
    ABI

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

    Azzeddine Dahbi, Mohamed Mouhir, Youssef Balouki +1

    Maqola20165 iqtibos
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Maqola20205 iqtibos
    ABI

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

    Fadi Thabtah, Peter Cowling, Yonghong Peng

    Maqola20054 iqtibos
    ABI

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

    Fadi Thabtah, Peter Cowling, Yonghong Peng

    Maqola20054 iqtibos
    ABI

  14. FURIA: an algorithm for unordered fuzzy rule induction

    Jens Hühn, Eyke Hüllermeier

    Maqola20094 iqtibos
    ABI

  15. Efficient and Effective Clustering Methods for Spatial Data Mining

    Raymond T. Ng, Jiawei Han

    Maqola19944 iqtibos
    ABI

  16. Distance based clustering of association rules

    Gunjan Gupta, Alexander L. Strehl, Joydeep Ghosh

    Maqola19994 iqtibos
    ABI

  17. 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

  18. Mining Clusters with Association Rules

    Walter A. Kosters, Elena Marchiori, Ard Oerlemans

    Bob19994 iqtibos
    ABI

  19. Coverage-Based Classification Using Association Rule Mining

    Jamolbek Mattiev, Branko Kavšek

    MaqolaData Mining Algorithms and ApplicationsApplied Sciences20203 iqtibos
    ABI

  20. Combining Naive Bayes and Decision Tables

    Mark A. Hall, Eibe Frank

    Maqola20083 iqtibos
    ABI

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

    R. Ramesh, V. Saravanan, R. Manikandan

    Maqola20193 iqtibos
    ABI

  22. BIRCH

    Tian Zhang, Raghu Ramakrishnan, Miron Livny

    Maqola19963 iqtibos
    ABI

  23. 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

  24. Machine Learning: Proceedings of the Fifteenth International Conference

    Jude Shavlik

    Hisobot19982 iqtibos
    ABI

  25. Sarlavhasiz

    Boshqa2 iqtibos
    ABI