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KDD
2004
ACM
126views Data Mining» more  KDD 2004»
14 years 9 months ago
Dense itemsets
Frequent itemset mining has been the subject of a lot of work in data mining research ever since association rules were introduced. In this paper we address a problem with frequen...
Heikki Mannila, Jouni K. Seppänen
AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 2 months ago
Are Zero-suppressed Binary Decision Diagrams Good for Mining Frequent Patterns in High Dimensional Datasets?
Mining frequent patterns such as frequent itemsets is a core operation in many important data mining tasks, such as in association rule mining. Mining frequent itemsets in high-di...
Elsa Loekito, James Bailey
ICDM
2008
IEEE
130views Data Mining» more  ICDM 2008»
14 years 2 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
IJAIT
2007
180views more  IJAIT 2007»
13 years 8 months ago
Detection and Prediction of Rare Events in Transaction Databases
Rare events analysis is an area that includes methods for the detection and prediction of events, e.g. a network intrusion or an engine failure, that occur infrequently and have s...
Christos Berberidis, Ioannis P. Vlahavas
JUCS
2006
95views more  JUCS 2006»
13 years 8 months ago
POCA : A User Distributions Algorithm in Enterprise Systems with Clustering
Abstract: As enterprises worldwide race to improve real-time management to improve productivity, customer services and flexibility, huge resources have been invested into enterpris...
Ping-Yu Hsu, Ping-Ho Ting