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AUSDM
2006
Springer
94views Data Mining» more  AUSDM 2006»
14 years 1 months ago
Marking Time in Sequence Mining
Sequence mining is often conducted over static and temporal datasets as well as over collections of events (episodes). More recently, there has also been a focus on the mining of ...
Carl Mooney, John F. Roddick
ESWA
2007
178views more  ESWA 2007»
13 years 10 months ago
Educational data mining: A survey from 1995 to 2005
ct 7 Currently there is an increasing interest in data mining and educational systems, making educational data mining as a new growing 8 research community. This paper surveys the ...
Cristóbal Romero, Sebastián Ventura
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
14 years 10 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald
ICMCS
2008
IEEE
115views Multimedia» more  ICMCS 2008»
14 years 4 months ago
Spatial pyramid mining for logo detection in natural scenes
This work introduces a novel data mining scheme, spatial pyramid mining, to discover association rules at multiple resolutions in order to identify frequent spatial configuration...
Jim Kleban, Xing Xie, Wei-Ying Ma
KYOTODL
2000
140views more  KYOTODL 2000»
13 years 11 months ago
Text Data Mining: Discovery of Important Keywords in the Cyberspace
This paper describes applications of the optimized pattern discover),framework to text and Webmining. In particular; we introduce a class of simple combinatorialpatterns over phra...
Hiroki Arimura, Jun-ichiro Abe, Hiroshi Sakamoto, ...