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32 та иш

Иш: 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

    Мақола20057 иқтибос
    ABI

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

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

    Мақола20136 иқтибос
    ABI

  3. C4.5: Programs for Machine Learning

    J. R. Quinlan

    Китоб19926 иқтибос
    ABI

  4. Building an associative classifier with multiple minimum supports

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

    Мақола20166 иқтибос
    ABI

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

    Jamolbek Mattiev, Branko Kavšek

    Боб20196 иқтибос
    ABI

  6. UCI Machine Learning Repository

    Arthur Asuncion

    Мақола20076 иқтибос
    ABI

  7. Integrating classification and association rule mining

    Bing Liu, Wynne Hsu, Yiming Ma

    Мақола19985 иқтибос
    ABI

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

    Khairan Rajab

    Мақола20195 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. Fast algorithms for mining association rules

    Rakesh Agrawal, Ramakrishnan Srikant

    Мақола19984 иқтибос
    ABI

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

    Fadi Thabtah, Peter Cowling, Yonghong Peng

    Мақола20054 иқтибос
    ABI

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

    Fadi Thabtah, Peter Cowling, Yonghong Peng

    Мақола20054 иқтибос
    ABI

  15. FURIA: an algorithm for unordered fuzzy rule induction

    Jens Hühn, Eyke Hüllermeier

    Мақола20094 иқтибос
    ABI

  16. Efficient and Effective Clustering Methods for Spatial Data Mining

    Raymond T. Ng, Jiawei Han

    Мақола19944 иқтибос
    ABI

  17. Distance based clustering of association rules

    Gunjan Gupta, Alexander L. Strehl, Joydeep Ghosh

    Мақола19994 иқтибос
    ABI

  18. Mining Clusters with Association Rules

    Walter A. Kosters, Elena Marchiori, Ard Oerlemans

    Боб19994 иқтибос
    ABI

  19. Combining Naive Bayes and Decision Tables

    Mark A. Hall, Eibe Frank

    Мақола20083 иқтибос
    ABI

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

    R. Ramesh, V. Saravanan, R. Manikandan

    Мақола20193 иқтибос
    ABI

  21. Generating Accurate Rule Sets Without Global Optimization

    Eibe Frank, Ian H. Witten

    Мақола19983 иқтибос
    ABI

  22. AN OVERVIEW OF COMBINATORIAL DATA ANALYSIS

    Phipps Arabie, Lawrence J. Hubert

    Боб19963 иқтибос
    ABI

  23. Fast Effective Rule Induction

    William W. Cohen

    Боб19953 иқтибос
    ABI

  24. Clustering association rules

    Brian Lent, A. Swami, Jennifer Widom

    Мақола20023 иқтибос
    ABI

  25. Pruning and Grouping Discovered Association Rules

    Hannu Toivonen, Mika Klemettinen, P. Ronkainen +2

    Мақола19952 иқтибос
    ABI