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» Mining Frequent Itemsets Using Genetic Algorithm
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GECCO
2005
Springer
151views Optimization» more  GECCO 2005»
15 years 3 months ago
Backward-chaining genetic programming
Tournament selection is the most frequently used form of selection in genetic programming (GP). Tournament selection chooses individuals uniformly at random from the population. A...
Riccardo Poli, William B. Langdon
SIGSOFT
2005
ACM
15 years 3 months ago
Detecting higher-level similarity patterns in programs
Cloning in software systems is known to create problems during software maintenance. Several techniques have been proposed to detect the same or similar code fragments in software...
Hamid Abdul Basit, Stan Jarzabek
PDPTA
2007
14 years 11 months ago
Brokering Algorithms for Composing Low Cost Distributed Storage Resources
Abstract In this paper we investigate the composition of cheap network storage resources to meet specific availability and capacity requirements. We show that the problem of find...
Jimmy Secretan, Malachi Lawson, Ladislau Böl&...
GECCO
2009
Springer
134views Optimization» more  GECCO 2009»
15 years 2 months ago
Estimating the distribution and propagation of genetic programming building blocks through tree compression
Shin et al [19] and McKay et al [15] previously applied tree compression and semantics-based simplification to study the distribution of building blocks in evolving Genetic Progr...
Robert I. McKay, Xuan Hoai Nguyen, James R. Cheney...
DEXA
2008
Springer
137views Database» more  DEXA 2008»
14 years 11 months ago
A Grid-Based Multi-relational Approach to Process Mining
Abstract. Industrial, scientific, and commercial applications use information systems to trace the execution of a business process. Relevant events are registered in massive logs a...
Antonio Turi, Annalisa Appice, Michelangelo Ceci, ...