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ORCIDData Mining and Knowledge Discovery, Volume 8
Volume 8, Number 1, January 2004
- Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan:
Editorial. 5-6 - Tom Brijs
, Gilbert Swinnen, Koen Vanhoof, Geert Wets:
Building an Association Rules Framework to Improve Product Assortment Decisions. 7-23 - Frans Coenen, Graham Goulbourne, Paul H. Leng:
Tree Structures for Mining Association Rules. 25-51 - Jiawei Han, Jian Pei, Yiwen Yin, Runying Mao:
Mining Frequent Patterns without Candidate Generation: A Frequent-Pattern Tree Approach. 53-87
Volume 8, Number 2, March 2004
- Usama M. Fayyad, Heikki Mannila, Raghu Ramakrishnan:
Editorial. 95-96 - Tapio Elomaa, Juho Rousu:
Efficient Multisplitting Revisited: Optima-Preserving Elimination of Partition Candidates. 97-126 - Vladimir Estivill-Castro, Jianhua Yang:
Fast and Robust General Purpose Clustering Algorithms. 127-150 - Roberto Kawakami Harrop Galvão, Victor M. Becerra, Magda Abou-Seada:
Ratio Selection for Classification Models. 151-170 - Assaf Schuster, Ran Wolff:
Communication-Efficient Distributed Mining of Association Rules. 171-196
Volume 8, Number 3, May 2004
- Emilio Corchado, Donald MacDonald, Colin Fyfe:
Maximum and Minimum Likelihood Hebbian Learning for Exploratory Projection Pursuit. 203-225 - Jian Pei, Jiawei Han, Laks V. S. Lakshmanan:
Pushing Convertible Constraints in Frequent Itemset Mining. 227-252 - Qiang Yang, Tianyi Li, Ke Wang:
Building Association-Rule Based Sequential Classifiers for Web-Document Prediction. 253-273 - 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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