01392nam--2200433---450-99000058215020331688-7131-935-40058215USA010058215(ALEPH)000058215USA01005821520010724d1999----km-y0itay0103----baengIT||||||||001yyProgrammare Microsoft Visual IntrrDev 6.0Nicholas D. Evans, Ken Miller e Ken SpencerMilanoMondadori Informaticac1999XIV, 574 p.ill.24 cm1 CD RomSul front.: Microsoft pressProgramming Microsoft Visual InterDev 6.0.20012001Programming Microsoft Visual InterDev 6.0.28551001-------2001Programmi Visual InterDevWorld Wide Web <Sistema di recupero delle informaziolni>005.72EVANS,Nicholas D.546930MILLER,Ken546931SPENCER,Ken546932ITsalbcISBD990000582150203316005.12 EVA12299 ING005.12BKTECPATTY9020010724USA01121720020403USA011707PATRY9020040406USA011640Programming Microsoft Visual InterDev 6.028551UNISA05804nam 22008655 450 991076752400332120251226203552.03-540-77485-810.1007/978-3-540-77485-3(CKB)1000000000490279(SSID)ssj0000316080(PQKBManifestationID)11233615(PQKBTitleCode)TC0000316080(PQKBWorkID)10263860(PQKB)10938087(DE-He213)978-3-540-77485-3(MiAaPQ)EBC4976481(MiAaPQ)EBC6408088(Au-PeEL)EBL4976481(CaONFJC)MIL134514(OCoLC)1024280271(PPN)123731852(MiAaPQ)EBC5586243(MiAaPQ)EBC336926(EXLCZ)99100000000049027920100301d2007 u| 0engurnn#008mamaatxtccrAdvances in Web Mining and Web Usage Analysis 8th International Workshop on Knowledge Discovery on the Web, WebKDD 2006 Philadelphia, USA, August 20, 2006 Revised Papers /edited by Olfa Nasraoui, Myra Spiliopoulou, Jaideep Srivastava, Bamshad Mobasher, Brij Masand1st ed. 2007.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2007.1 online resource (XII, 252 p.)Lecture Notes in Artificial Intelligence,2945-9141 ;4811Bibliographic Level Mode of Issuance: Monograph3-540-77484-X Includes bibliographical references and index.Adaptive Website Design Using Caching Algorithms -- Incorporating Usage Information into Average-Clicks Algorithm -- Nearest-Biclusters Collaborative Filtering with Constant Values -- Fast Categorization of Web Documents Represented by Graphs -- Leveraging Structural Knowledge for Hierarchically-Informed Keyword Weight Propagation in the Web -- How to Define Searching Sessions on Web Search Engines -- Incorporating Concept Hierarchies into Usage Mining Based Recommendations -- A Random-Walk Based Scoring Algorithm Applied to Recommender Engines -- Towards a Scalable kNN CF Algorithm: Exploring Effective Applications of Clustering -- Detecting Profile Injection Attacks in Collaborative Filtering: A Classification-Based Approach -- Predicting the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection -- Analysis of Web Search Engine Query Session and Clicked Documents -- Understanding Content Reuse on the Web: Static and Dynamic Analyses.This book contains the postworkshop proceedings with selected revised papers from the 8th international workshop on knowledge discovery from the Web, WEBKDD 2006. The WEBKDD workshop series has taken place as part of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD) since 1999. The discipline of data mining delivers methodologies and tools for the an- ysis of large data volumes and the extraction of comprehensible and non-trivial insights from them. Web mining, a much younger discipline, concentrates on the analysisofdata pertinentto the Web.Web mining methods areappliedonusage data and Web site content; they strive to improve our understanding of how the Web is used, to enhance usability and to promote mutual satisfaction between e-business venues and their potential customers. Inthelastfewyears,theinterestfortheWebasamediumforcommunication, interaction and business has led to new challenges and to intensive, dedicated research.Many ofthe infancy problems in Web mining have been solvedby now, but the tremendous potential for new and improved uses, as well as misuses, of the Web are leading to new challenges. ThethemeoftheWebKDD2006workshopwas“KnowledgeDiscoveryonthe Web”, encompassing lessons learned over the past few years and new challenges for the years to come. While some of the infancy problems of Web analysis have beensolvedandproposedmethodologieshavereachedmaturity,therealityposes newchallenges:TheWebisevolvingconstantly;siteschangeanduserpreferences drift. And, most of all, a Web site is more than a see-and-click medium; it is a venue where a user interacts with a site owner or with other users, where group behavior is exhibited, communities are formed and experiences are shared.Lecture Notes in Artificial Intelligence,2945-9141 ;4811Artificial intelligenceComputer networksDatabase managementInformation storage and retrieval systemsApplication softwareComputers and civilizationArtificial IntelligenceComputer Communication NetworksDatabase ManagementInformation Storage and RetrievalComputer and Information Systems ApplicationsComputers and SocietyArtificial intelligence.Computer networks.Database management.Information storage and retrieval systems.Application software.Computers and civilization.Artificial Intelligence.Computer Communication Networks.Database Management.Information Storage and Retrieval.Computer and Information Systems Applications.Computers and Society.006.3Nasraoui Olfa1968-MiAaPQMiAaPQMiAaPQBOOK9910767524003321Advances in Web Mining and Web Usage Analysis772002UNINA