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PAKDD
2004
ACM
94views Data Mining» more  PAKDD 2004»
14 years 27 days ago
Self-Similar Mining of Time Association Rules
Although the task of mining association rules has received considerable attention in the literature, algorithms to find time association rules are often inadequate, by either miss...
Daniel Barbará, Ping Chen, Zohreh Nazeri
JCP
2008
145views more  JCP 2008»
13 years 7 months ago
An Effective Mining Algorithm for Weighted Association Rules in Communication Networks
The mining of weighted association rules is one of the primary methods used in communication alarm correlation analysis. With large communication alarm database, the traditional me...
Jian Wu, Xing ming Li
DATAMINE
2002
155views more  DATAMINE 2002»
13 years 7 months ago
Efficient Adaptive-Support Association Rule Mining for Recommender Systems
Collaborative recommender systems allow personalization for e-commerce by exploiting similarities and dissimilarities among customers' preferences. We investigate the use of a...
Weiyang Lin, Sergio A. Alvarez, Carolina Ruiz
ISMIS
2005
Springer
14 years 1 months ago
Mining and Filtering Multi-level Spatial Association Rules with ARES
In spatial data mining, a common task is the discovery of spatial association rules from spatial databases. We propose a distributed system, named ARES that takes advantage of the ...
Annalisa Appice, Margherita Berardi, Michelangelo ...
FUZZIEEE
2007
IEEE
14 years 1 months ago
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules
— Data mining is most commonly used in attempts to induce association rules from transaction data. Most previous studies focused on binary-valued transaction data. Transaction da...
Rafael Alcalá, Jesús Alcalá-F...