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32 ta ish

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

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

    Guoqing Chen, Hongyan Liu, Yu Lan +2

    Maqola20057 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. C4.5: Programs for Machine Learning

    J. R. Quinlan

    Kitob19926 iqtibos
    ABI

  4. Building an associative classifier with multiple minimum supports

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

    Maqola20166 iqtibos
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Bob20196 iqtibos
    ABI

  6. UCI Machine Learning Repository

    Arthur Asuncion

    Maqola20076 iqtibos
    ABI

  7. Integrating classification and association rule mining

    Bing Liu, Wynne Hsu, Yiming Ma

    Maqola19985 iqtibos
    ABI

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

    Khairan Rajab

    Maqola20195 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. Fast algorithms for mining association rules

    Rakesh Agrawal, Ramakrishnan Srikant

    Maqola19984 iqtibos
    ABI

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

    Fadi Thabtah, Peter Cowling, Yonghong Peng

    Maqola20054 iqtibos
    ABI

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

    Fadi Thabtah, Peter Cowling, Yonghong Peng

    Maqola20054 iqtibos
    ABI

  15. FURIA: an algorithm for unordered fuzzy rule induction

    Jens Hühn, Eyke Hüllermeier

    Maqola20094 iqtibos
    ABI

  16. Efficient and Effective Clustering Methods for Spatial Data Mining

    Raymond T. Ng, Jiawei Han

    Maqola19944 iqtibos
    ABI

  17. Distance based clustering of association rules

    Gunjan Gupta, Alexander L. Strehl, Joydeep Ghosh

    Maqola19994 iqtibos
    ABI

  18. Mining Clusters with Association Rules

    Walter A. Kosters, Elena Marchiori, Ard Oerlemans

    Bob19994 iqtibos
    ABI

  19. Combining Naive Bayes and Decision Tables

    Mark A. Hall, Eibe Frank

    Maqola20083 iqtibos
    ABI

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

    R. Ramesh, V. Saravanan, R. Manikandan

    Maqola20193 iqtibos
    ABI

  21. Generating Accurate Rule Sets Without Global Optimization

    Eibe Frank, Ian H. Witten

    Maqola19983 iqtibos
    ABI

  22. AN OVERVIEW OF COMBINATORIAL DATA ANALYSIS

    Phipps Arabie, Lawrence J. Hubert

    Bob19963 iqtibos
    ABI

  23. Fast Effective Rule Induction

    William W. Cohen

    Bob19953 iqtibos
    ABI

  24. Clustering association rules

    Brian Lent, A. Swami, Jennifer Widom

    Maqola20023 iqtibos
    ABI

  25. Pruning and Grouping Discovered Association Rules

    Hannu Toivonen, Mika Klemettinen, P. Ronkainen +2

    Maqola19952 iqtibos
    ABI