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ICDM
2002
IEEE
131views Data Mining» more  ICDM 2002»
14 years 1 months ago
Using Sequential and Non-Sequential Patterns in Predictive Web Usage Mining Tasks
We describe an efficient framework for Web personalization based on sequential and non-sequential pattern discovery from usage data. Our experimental results performed on real us...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
ICDM
2002
IEEE
152views Data Mining» more  ICDM 2002»
14 years 1 months ago
Concept Tree Based Clustering Visualization with Shaded Similarity Matrices
One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conce...
Jun Wang, Bei Yu, Les Gasser
ICDM
2002
IEEE
91views Data Mining» more  ICDM 2002»
14 years 1 months ago
Mining Molecular Fragments: Finding Relevant Substructures of Molecules
We present an algorithm to find fragments in a set of molecules that help to discriminate between different classes of, for instance, activity in a drug discovery context. Instea...
Christian Borgelt, Michael R. Berthold
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
14 years 1 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
ICDM
2002
IEEE
70views Data Mining» more  ICDM 2002»
14 years 1 months ago
Progressive Modeling
Presently, inductive learning is still performed in a frustrating batch process. The user has little interaction with the system and no control over the final accuracy and traini...
Wei Fan, Haixun Wang, Philip S. Yu, Shaw-hwa Lo, S...