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PAKDD
2010
ACM
152views Data Mining» more  PAKDD 2010»
14 years 2 months ago
Mining Association Rules in Long Sequences
Abstract. Discovering interesting patterns in long sequences, and finding confident association rules within them, is a popular area in data mining. Most existing methods define...
Boris Cule, Bart Goethals
IDEAL
2004
Springer
14 years 3 months ago
Prediction of Implicit Protein-Protein Interaction by Optimal Associative Feature Mining
Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein–protein interaction is intrinsic to most cellular processes, pr...
Jae-Hong Eom, Jeong Ho Chang, Byoung-Tak Zhang
ISNN
2007
Springer
14 years 4 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li
KES
2004
Springer
14 years 3 months ago
Multi-agent Web Recommendation Method Based on Indirect Association Rules
Recommendation systems often use association rules as main technique to discover useful links among the set of transactions, especially web usage data – historical user sessions....
Przemyslaw Kazienko
EKAW
2006
Springer
14 years 1 months ago
Iterative Bayesian Network Implementation by Using Annotated Association Rules
Abstract. This paper concerns the iterative implementation of a knowledge model in a data mining context. Our approach relies on coupling a Bayesian network design with an associat...
Clément Fauré, Sylvie Delprat, Jean-...