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Ant colony optimization and data mining: Techniques and trends

dc.creatorMichelakos, I.en
dc.creatorMallios, N.en
dc.creatorPapageorgiou, E.en
dc.creatorVassilakopoulos, M.en
dc.date.accessioned2015-11-23T10:39:36Z
dc.date.available2015-11-23T10:39:36Z
dc.date.issued2010
dc.identifier10.1109/3PGCIC.2010.47
dc.identifier.isbn9780769542379
dc.identifier.urihttp://hdl.handle.net/11615/31005
dc.description.abstractThe Ant Colony Optimization (ACO) technique was inspired by the ants' behaviour throughout their exploration for food. The use of this technique has been very successful for several problems. Besides, Data Mining (DM) has emerged as an important technology with numerous practical applications, due to the wide availability of a vast amount of data. The collaborative use of ACO and DM is very promising. In this paper, we review ACO, DM, Classification and Clustering (popular DM tasks) and focus on the use of ACO for Classification and Clustering. Moreover, we briefly present related applications and examples and outline possible future trends of this promising collaborative use of techniques. © 2010 IEEE.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-84873170816&partnerID=40&md5=c4d53bb8bdb94d3687029f889ef97842
dc.subjectAnt Colony Optimization (ACO)en
dc.subjectClassificationen
dc.subjectClusteringen
dc.subjectData Miningen
dc.subjectClassification and clusteringen
dc.subjectPossible futuresen
dc.subjectAlgorithmsen
dc.subjectAnt colony optimizationen
dc.subjectClassification (of information)en
dc.subjectDistributed computer systemsen
dc.subjectInterneten
dc.subjectArtificial intelligenceen
dc.titleAnt colony optimization and data mining: Techniques and trendsen
dc.typeconferenceItemen


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