02061oam 2200409zu 450 991087325430332120241212220221.0(CKB)2670000000146742(SSID)ssj0000669884(PQKBManifestationID)12287621(PQKBTitleCode)TC0000669884(PQKBWorkID)10714765(PQKB)11056729(NjHacI)992670000000146742(EXLCZ)99267000000014674220160829d2011 uy engur|||||||||||txtccr2011 Fourth International Symposium on Knowledge Acquisition and Modeling[Place of publication not identified]IEEE20111 online resource (xix, 625 pages)Bibliographic Level Mode of Issuance: Monograph9781457717888 1457717883 Internet server as a distributing global information service center which produced much amount of data every time or every day, it is a very urgent need to get interesting and important information from internet efficiently and timely to everyone of us. Web consists of not only the amount of page, but also the structure link and the used recorder, which contain much useful and important information such as custom access action, the quality of the Web page and similar user classification. The paper make use of the user access sequences to produce the vast forward path, by the preprocessing get the frequent access crunodes, then introduce association analysis method in data mining to generating the authoritative sites. Finally, the instance illustrated the affectivity and feasibility.Knowledge acquisition (Expert systems)CongressesKnowledge acquisition (Expert systems)006.33IEEE StaffPQKBPROCEEDING99108732543033212011 Fourth International Symposium on Knowledge Acquisition and Modeling2543397UNINA