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IAT
2003
IEEE
15 years 3 months ago
Classification Rule Discovery with Ant Colony Optimization
—Ant-based algorithms or ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. More recently, Parpinelli and colleagues ...
Bo Liu, Hussein A. Abbass, Bob McKay
AUSAI
2003
Springer
15 years 3 months ago
Weighted MCRDR: Deriving Information about Relationships between Classifications in MCRDR
Multiple Classification Ripple Down Rules (MCRDR) is a knowledge acquisition technique that produces representations, or knowledge maps, of a human expert’s knowledge of a partic...
Richard Dazeley, Byeong Ho Kang
CEC
2007
IEEE
15 years 1 months ago
Evolving hypernetworks for pattern classification
Abstract-- Hypernetworks consist of a large number of hyperedges that represent higher-order features sampled from training patterns. Evolutionary algorithms have been used as a me...
Joo-Kyung Kim, Byoung-Tak Zhang
DIMVA
2008
14 years 11 months ago
Learning and Classification of Malware Behavior
Malicious software in form of Internet worms, computer viruses, and Trojan horses poses a major threat to the security of networked systems. The diversity and amount of its variant...
Konrad Rieck, Thorsten Holz, Carsten Willems, Patr...
DMIN
2006
132views Data Mining» more  DMIN 2006»
14 years 11 months ago
Discovering Accurate and Interesting Classification Rules Using Genetic Algorithm
Discovering accurate and interesting classification rules is a significant task in the post-processing stage of a data mining (DM) process. Therefore, an optimization problem exis...
Janaki Gopalan, Reda Alhajj, Ken Barker