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ICDM
2007
IEEE
157views Data Mining» more  ICDM 2007»
15 years 6 months ago
Training Conditional Random Fields by Periodic Step Size Adaptation for Large-Scale Text Mining
For applications with consecutive incoming training examples, on-line learning has the potential to achieve a likelihood as high as off-line learning without scanning all availabl...
Han-Shen Huang, Yu-Ming Chang, Chun-Nan Hsu
IJBIDM
2006
75views more  IJBIDM 2006»
15 years 5 months ago
Web process and workflow path mining using the Multimethod approach
: Workflow Management Systems (WfMS) provide a fundamental technological infrastructure to define and manage business processes efficiently. WfMS logs contain valuable data that ca...
Jorge Cardoso, Mitja Lenic
ICDM
2009
IEEE
121views Data Mining» more  ICDM 2009»
15 years 11 months ago
Finding Time Series Motifs in Disk-Resident Data
—Time series motifs are sets of very similar subsequences of a long time series. They are of interest in their own right, and are also used as inputs in several higher-level data...
Abdullah Mueen, Eamonn J. Keogh, Nima Bigdely Sham...
ICDM
2008
IEEE
120views Data Mining» more  ICDM 2008»
15 years 11 months ago
Predicting Future Decision Trees from Evolving Data
Recognizing and analyzing change is an important human virtue because it enables us to anticipate future scenarios and thus allows us to act pro-actively. One approach to understa...
Mirko Böttcher, Martin Spott, Rudolf Kruse
SDM
2003
SIAM
110views Data Mining» more  SDM 2003»
15 years 6 months ago
Mixture Models and Frequent Sets: Combining Global and Local Methods for 0-1 Data
We study the interaction between global and local techniques in data mining. Specifically, we study the collections of frequent sets in clusters produced by a probabilistic clust...
Jaakko Hollmén, Jouni K. Seppänen, Hei...