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ICDM
2009
IEEE
173views Data Mining» more  ICDM 2009»
13 years 2 months ago
Discovery of Quantitative Sequential Patterns from Event Sequences
Fumiya Nakagaito, Tomonobu Ozaki, Takenao Ohkawa
PAKDD
2004
ACM
199views Data Mining» more  PAKDD 2004»
13 years 9 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...
SDM
2003
SIAM
174views Data Mining» more  SDM 2003»
13 years 5 months ago
STAMP: On Discovery of Statistically Important Pattern Repeats in Long Sequential Data
In this paper, we focus on mining periodic patterns allowing some degree of imperfection in the form of random replacement from a perfect periodic pattern. In InfoMiner+, we propo...
Jiong Yang, Wei Wang 0010, Philip S. Yu
FUIN
2008
136views more  FUIN 2008»
13 years 4 months ago
Multi-Dimensional Relational Sequence Mining
The issue addressed in this paper concerns the discovery of frequent multi-dimensional patterns from relational sequences. The great variety of applications of sequential pattern m...
Floriana Esposito, Nicola Di Mauro, Teresa Maria A...
TKDE
2008
156views more  TKDE 2008»
13 years 4 months ago
A Framework for Mining Sequential Patterns from Spatio-Temporal Event Data Sets
Given a large spatio-temporal database of events, where each event consists of the fields event ID, time, location, and event type, mining spatio-temporal sequential patterns ident...
Yan Huang, Liqin Zhang, Pusheng Zhang