Classification rule discovery with ant colony optimization

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 applied ACO to data mining classification problems, where they introduced a classification algorithm called Ant/spl I.bar/M...

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Bibliographische Detailangaben
Hauptverfasser: Bo Liu, Abbas, H.A., McKay, B.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Ant colony optimization
Artificial intelligence
Computer science
Data mining
Delta modulation
Educational institutions
Humans
Intelligent agent
Particle swarm optimization
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Beschreibung
Zusammenfassung:Ant-based algorithms or ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. More recently, Parpinelli and colleagues applied ACO to data mining classification problems, where they introduced a classification algorithm called Ant/spl I.bar/Miner. In this paper, we present an improvement to Ant/spl I.bar/Miner (we call it Ant/spl I.bar/Miner3). The proposed version was tested on two standard problems and performed better than the original Ant/spl I.bar/Miner algorithm.
DOI:10.1109/IAT.2003.1241052