Data 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, Ian Tian Yi 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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