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ICDM
2007
IEEE
137views Data Mining» more  ICDM 2007»
15 years 4 months ago
Locally Constrained Support Vector Clustering
Support vector clustering transforms the data into a high dimensional feature space, where a decision function is computed. In the original space, the function outlines the bounda...
Dragomir Yankov, Eamonn J. Keogh, Kin Fai Kan
SDM
2009
SIAM
111views Data Mining» more  SDM 2009»
15 years 7 months ago
A New Constraint for Mining Sets in Sequences.
Discovering interesting patterns in event sequences is a popular task in the field of data mining. Most existing methods try to do this based on some measure of cohesion to deter...
Bart Goethals, Boris Cule, Céline Robardet
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
15 years 10 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
KDD
1998
ACM
190views Data Mining» more  KDD 1998»
15 years 2 months ago
Mining Segment-Wise Periodic Patterns in Time-Related Databases
Periodicity search, that is, searchfor cyclicity in time-related databases, is an interesting data mining problem. Mostprevious studies have been on finding full-cycle periodicity...
Jiawei Han, Wan Gong, Yiwen Yin
DAWAK
2005
Springer
15 years 3 months ago
Gene Expression Biclustering Using Random Walk Strategies
A biclustering algorithm, based on a greedy technique and enriched with a local search strategy to escape poor local minima, is proposed. The algorithm starts with an initial rando...
Fabrizio Angiulli, Clara Pizzuti