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ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
16 years 1 months ago
Mining Temporal Patterns with Quantitative Intervals
In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated da...
Thomas Guyet, Rene Quiniou
ICDM
2003
IEEE
225views Data Mining» more  ICDM 2003»
16 years 9 days ago
Combining the web content and usage mining to understand the visitor behavior in a web site
A web site is a semi structured collection of different kinds of data, whose motivation is show relevant information to visitor and by this way capture her/his attention. Understa...
Juan D. Velásquez, Hiroshi Yasuda, Terumasa...
IJBIDM
2006
75views more  IJBIDM 2006»
15 years 7 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»
16 years 1 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»
16 years 1 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