DocumentCode
2054441
Title
Personalized Data Mining Based on Ontology and Agent
Author
Han, Guilai ; Jiao, Anquan
Author_Institution
Fac. of Inf. Technol., Hainan Med. Coll., Haikou, China
Volume
2
fYear
2010
fDate
14-15 Aug. 2010
Firstpage
55
Lastpage
56
Abstract
Data mining aims to mine the latent and worthy information from a large amount of data, however customers usually can´t express their needs accurately or data resources were not defined specifically, it is often for people to obtain the useful data as well as plentiful of the useless data. Introducing ontology and agent into data mining, Ontology may carry on a more explicit definition in the semantic level, and Agent can help users study, and enable them to define their own demands more precisely, attaining to provide personalized data mining services. Finally, A workflow of personalized data mining based on ontology and agent is Introduced.
Keywords
data mining; multi-agent systems; ontologies (artificial intelligence); agent; data resources; ontology; personalized data mining; Computers; Data mining; Databases; Ontologies; Semantics; Vocabulary; Ontology; agent; data mining; personalized;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Engineering (ICIE), 2010 WASE International Conference on
Conference_Location
Beidaihe, Hebei
Print_ISBN
978-1-4244-7506-3
Electronic_ISBN
978-1-4244-7507-0
Type
conf
DOI
10.1109/ICIE.2010.109
Filename
5571235
Link To Document