Handbook of Research on Web Log Analysis
Whether searching, shopping, or socializing, Web users leave behind a great deal of data revealing their information needs, mindset, and approaches used, creating vast opportunities for Web service providers as well as a host of security and privacy concerns for consumers. The Handbook of Research on Web Log Analysis reflects on the multifaceted themes of Web use and presents various approaches to log analysis. This expansive collection reviews the history of Web log analysis and examines new trends including the issues of privacy, social interaction and community building. Over 20 research contributions from international experts comprehensively cover the latest user-behavior analytic and log analysis methodologies, and consider new research directions and novel applications. An essential holding for library reference collections, this Handbook of Research will benefit academics, researchers, and students in a variety of fields, as well as technology professionals interested in the opportunities and challenges presented by the massive collection of Web usage data.
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Research and Methodological Foundations of Transaction Log Analysis
Historic Perspective of Log Analysis
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action-object pair actions activities adaptive algorithms American Society analyzing applications approach blogs browser browsing behavior capture chapter classification Client-side concepts conditional random fields connector Websites data collection data logging discussion documents domain ethnography evaluation example Facebook feedback Friendster Hawkey identify individual information extraction information retrieval Information Science information seeking behavior interface Internet Jansen Journal language LinkedIn log data log files machine learning method methodology metrics natural language processing navigation ontology Ozmutlu participants patterns privacy concerns proxy server record sample Saracevic search engine search log search queries searcher semantic Semantic Web server Server-side session social networking Society for Information specific Spink StateX survey tagging task techniques tion topic identification traffic transaction log analysis usage user behavior user interaction user’s visitors Web Usage Mining Web-traffic measurement World Wide Web