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» Temporal Sequence Associations for Rare Events
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PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
13 years 10 months ago
Temporal Sequence Associations for Rare Events
In many real world applications, systematic analysis of rare events, such as credit card frauds and adverse drug reactions, is very important. Their low occurrence rate in large da...
Jie Chen, Hongxing He, Graham J. Williams, Huidong...
KDD
1998
ACM
212views Data Mining» more  KDD 1998»
13 years 9 months ago
Learning to Predict Rare Events in Event Sequences
Learning to predict rare events from sequences of events with categorical features is an important, real-world, problem that existing statistical and machine learning methods are ...
Gary M. Weiss, Haym Hirsh
ICDM
2002
IEEE
156views Data Mining» more  ICDM 2002»
13 years 9 months ago
Predicting Rare Events In Temporal Domains
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
Ricardo Vilalta, Sheng Ma
ICDE
2007
IEEE
209views Database» more  ICDE 2007»
13 years 11 months ago
Hierarchical Temporal Association Mining for Video Event Detection in Video Databases
With the proliferation of multimedia data and evergrowing requests for multimedia applications, new challenges are emerged for efficient and effective managing and accessing large...
Min Chen, Shu-Ching Chen, Mei-Ling Shyu
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
13 years 11 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