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AUSDM
2007
Springer
193views Data Mining» more  AUSDM 2007»
14 years 4 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
GECCO
2007
Springer
179views Optimization» more  GECCO 2007»
14 years 4 months ago
Genetic algorithms for large join query optimization
Genetic algorithms (GAs) have long been used for large join query optimization (LJQO). Previous work takes all queries as based on one granularity to optimize GAs and compares the...
Hongbin Dong, Yiwen Liang
GECCO
2007
Springer
192views Optimization» more  GECCO 2007»
14 years 4 months ago
SDR: a better trigger for adaptive variance scaling in normal EDAs
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...
Peter A. N. Bosman, Jörn Grahl, Franz Rothlau...
ACSC
2005
IEEE
14 years 3 months ago
A Two-Pronged Attack on the Dragon of Intractability
One approach to tractably finding a solution to an NP-complete optimisation problem is heuristic, where the solution is inexact but quickly found; another approach is to reduce t...
Stephen Gilmour, Mark Dras
AUSAI
2005
Springer
14 years 3 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb