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
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;
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
DOI :
10.1109/ICIE.2010.109