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» An Associative Memory for Association Rule Mining
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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...
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
IDEAL
2004
Springer
14 years 29 days ago
PRICES: An Efficient Algorithm for Mining Association Rules
In this paper, we present PRICES, an efficient algorithm for mining association rules, which first identifies all large itemsets and then generates association rules. Our approach ...
Chuan Wang, Christos Tjortjis
IDA
2002
Springer
13 years 7 months ago
Optimization of association rule mining queries
Levelwise algorithms (e.g., the Apriori algorithm) have been proved eective for association rule mining from sparse data. However, in many practical applications, the computation ...
Baptiste Jeudy, Jean-François Boulicaut
GFKL
2005
Springer
105views Data Mining» more  GFKL 2005»
14 years 1 months ago
Implications of Probabilistic Data Modeling for Mining Association Rules
Mining association rules is an important technique for discovering meaningful patterns in transaction databases. In the current literature, the properties of algorithms to mine ass...
Michael Hahsler, Kurt Hornik, Thomas Reutterer