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DAWAK
2000
Springer
15 years 5 months ago
Data Mining Support in Database Management Systems
Abstract. The most popular data mining techniques consist in searching databases for frequently occurring patterns, e.g. association rules, sequential patterns. We argue that in co...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...
MIR
2006
ACM
141views Multimedia» more  MIR 2006»
15 years 7 months ago
Mining temporal patterns of movement for video content classification
Scalable approaches to video content classification are limited by an inability to automatically generate representations of events ode abstract temporal structure. This paper pre...
Michael Fleischman, Philip DeCamp, Deb Roy
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
16 years 1 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White
KDD
2008
ACM
192views Data Mining» more  KDD 2008»
16 years 1 months ago
Partial least squares regression for graph mining
Attributed graphs are increasingly more common in many application domains such as chemistry, biology and text processing. A central issue in graph mining is how to collect inform...
Hiroto Saigo, Koji Tsuda, Nicole Krämer
PKDD
2004
Springer
79views Data Mining» more  PKDD 2004»
15 years 6 months ago
A Framework for Data Mining Pattern Management
Abstract. To represent and manage data mining patterns, several aspects have to be taken into account: (i) patterns are heterogeneous in nature; (ii) patterns can be extracted from...
Barbara Catania, Anna Maddalena, Maurizio Mazza, E...