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29 ta ish

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

  1. Random Forests

    Leo Breiman

    Maqola200167 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. UCI Machine Learning Repository

    Arthur Asuncion

    Maqola20076 iqtibos
    ABI

  8. Integrating classification and association rule mining

    Bing Liu, Wynne Hsu, Yiming Ma

    Maqola19985 iqtibos
    ABI

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

    Khairan Rajab

    Maqola20195 iqtibos
    ABI

  10. Finding Groups in Data

    Leonard Kaufman, Peter J. Rousseeuw

    Kitob19905 iqtibos
    ABI

  11. A comparative study of clustering methods

    Mohamed Zaït, Hammou Messatfa

    Maqola19975 iqtibos
    ABI

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

    Azzeddine Dahbi, Mohamed Mouhir, Youssef Balouki +1

    Maqola20165 iqtibos
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Maqola20205 iqtibos
    ABI

  14. Fast algorithms for mining association rules

    Rakesh Agrawal, Ramakrishnan Srikant

    Maqola19984 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. Mining Clusters with Association Rules

    Walter A. Kosters, Elena Marchiori, Ard Oerlemans

    Bob19994 iqtibos
    ABI

  18. An empirical analysis of land property lawsuits and rainfalls

    Li-Chen Chou, Chung-Yuan Fu

    Maqola20163 iqtibos
    ABI

  19. Generating Accurate Rule Sets Without Global Optimization

    Eibe Frank, Ian H. Witten

    Maqola19983 iqtibos
    ABI

  20. BIRCH

    Tian Zhang, Raghu Ramakrishnan, Miron Livny

    Maqola19963 iqtibos
    ABI

  21. AN OVERVIEW OF COMBINATORIAL DATA ANALYSIS

    Phipps Arabie, Lawrence J. Hubert

    Bob19963 iqtibos
    ABI

  22. Fast Effective Rule Induction

    William W. Cohen

    Bob19953 iqtibos
    ABI

  23. Clustering association rules

    Brian Lent, A. Swami, Jennifer Widom

    Maqola20023 iqtibos
    ABI

  24. EnBay: A Novel Pattern-Based Bayesian Classifier

    Elena Baralis, Luca Cagliero, Paolo Garza

    Maqola20122 iqtibos
    ABI

  25. Clustering Algorithms II: Hierarchical Algorithms

    Sergios Theodoridis, Konstantinos Koutroumbas

    Bob20092 iqtibos
    ABI