Data Mining and Knowledge Discovery, Volume 8

Volume 8, Number 1, January 2004

Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan:
Editorial. 5-6
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Tom Brijs, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
Building an Association Rules Framework to Improve Product Assortment Decisions. 7-23
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Frans Coenen, Graham Goulbourne, Paul H. Leng:
Tree Structures for Mining Association Rules. 25-51
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Jiawei Han, Jian Pei, Yiwen Yin, Runying Mao:
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. 53-87
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Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan:
Editorial. 95-96
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Tapio Elomaa, Juho Rousu:
Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates. 97-126
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Vladimir Estivill-Castro, Jianhua Yang:
Fast and Robust General Purpose Clustering Algorithms. 127-150
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Roberto Kawakami Harrop Galvão, Victor M. Becerra, Magda Abou-Seada:
Ratio Selection for Classification Models. 151-170
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Assaf Schuster, Ran Wolff:
Communication-Efficient Distributed Mining of Association Rules. 171-196
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Emilio Corchado, Donald MacDonald, Colin Fyfe:
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. 203-225
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Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
Pushing Convertible Constraints in Frequent Itemset Mining. 227-252
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Qiang Yang, Ian Tian Yi Li, Ke Wang:
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction. 253-273
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Kenji Yamanishi, Jun-ichi Takeuchi, Graham J. Williams, Peter Milne:
On-Line Unsupervised Outlier Detection Using Finite Mixtures with Discounting Learning Algorithms. 275-300
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