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    Journal: Data Min. Knowl. Discov.

    Volume 8, Issue 3

    203 -- 225Emilio Corchado, Donald MacDonald, Colin Fyfe. Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit
    227 -- 252Jian Pei, Jiawei Han, Laks V. S. Lakshmanan. Pushing Convertible Constraints in Frequent Itemset Mining
    253 -- 273Qiang Yang, Ian Tian Yi Li, Ke Wang. Building Association-Rule Based Sequential Classifiers for Web-Document Prediction
    275 -- 300Kenji Yamanishi, Jun-ichi Takeuchi, Graham J. Williams, Peter Milne. On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms

    Volume 8, Issue 2

    95 -- 96Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan. Editorial
    97 -- 126Tapio Elomaa, Juho Rousu. Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates
    127 -- 150Vladimir Estivill-Castro, Jianhua Yang. Fast and Robust General Purpose Clustering Algorithms
    151 -- 170Roberto Kawakami Harrop Galvão, Victor M. Becerra, Magda Abou-Seada. Ratio Selection for Classification Models
    171 -- 196Assaf Schuster, Ran Wolff. Communication-Efficient Distributed Mining of Association Rules

    Volume 8, Issue 1

    5 -- 6Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan. Editorial
    7 -- 23Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets. Building an Association Rules Framework to Improve Product Assortment Decisions
    25 -- 51Frans Coenen, Graham Goulbourne, Paul H. Leng. Tree Structures for Mining Association Rules
    53 -- 87Jiawei Han, Jian Pei, Yiwen Yin, Runying Mao. Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach
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