Advances in web mining and web usage analysis : 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, Seattle, WA, USA, August 22-25, 2004 : revised selected papers /

Advances in web mining and web usage analysis : 6th International Workshop on Knowledge Discovery on the Web, WebKDD 2004, Seattle, WA, USA, August 22-25, 2004 : revised selected papers /

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Bibliographic Details
Meeting name:	WebKDD 2004 (2004 : Seattle, Wash.)
Imprint:	Berlin ; New York : Springer, ©2006.
Description:	1 online resource (x, 187 pages) : illustrations.
Language:	English
Series:	LNCS sublibrary. SL 7, Artificial intelligence Hot topics Lecture notes in computer science ; 3932. Lecture notes in artificial intelligence LNCS sublibrary. SL 7, Artificial intelligence. Lecture notes in computer science ; 3932. Lecture notes in computer science. Lecture notes in artificial intelligence. Hot topics (Berlin, Germany)
Subject:	Web usage mining -- Congresses. Internet users -- Congresses. Internet users. Web usage mining. Conference papers and proceedings.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11069113

Hidden Bibliographic Details
Varying Form of Title:	WebKDD 2004 6th International Workshop on Knowledge Discovery on the Web Sixth International Workshop on Knowledge Discovery on the Web International Workshop on Knowledge Discovery on the Web
Other authors / contributors:	Mobasher, Bamshad.
ISBN:	9783540471288 3540471286 3540471278 9783540471271
Notes:	Includes bibliographical references and index. Print version record.
Summary:	TheWebisaliveenvironmentthatmanagesanddrivesawidespectrumofapp- cations in which a user may interact with a company, a governmental authority, a non-governmental organization or other non-pro?t institution or other users. User preferences and expectations, together with usage patterns, form the basis for personalized, user-friendly and business-optimal services. Key Web business metrics enabled by proper data capture and processing are essential to run an e?ective business or service. Enabling technologies include data mining, sc- able warehousing and preprocessing, sequence discovery, real time processing, document classi?cation, user modeling and quality evaluation models for them. Recipient technologies required for user pro?ling and usage patterns include recommendation systems, Web analytics applications, and application servers, coupled with content management systems and fraud detectors. Furthermore, the inherent and increasing heterogeneity of the Web has - quired Web-based applications to more e?ectively integrate a variety of types of data across multiple channels and from di?erent sources. The development and application of Web mining techniques in the context of Web content, Web usage, and Web structure data has already resulted in dramatic improvements in a variety of Web applications, from search engines, Web agents, and content management systems, to Web analytics and personalization services. A focus on techniques and architectures for more e?ective integration and mining of c- tent, usage, and structure data from di?erent sourcesis likely to leadto the next generation of more useful and more intelligent applications.
Other form:	Print version: WebKDD 2004 (2004 : Seattle, Wash.). Advances in web mining and web usage analysis. Berlin ; New York : Springer, ©2006 3540471278 9783540471271