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 /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Mobasher, Bamshad (Επιμελητής έκδοσης), Nasraoui, Olfa (Επιμελητής έκδοσης), Liu, Bing (Επιμελητής έκδοσης), Masand, Brij (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
• Σειρά: Lecture Notes in Computer Science, 3932
• Θέματα: Computer science.; Computer communication systems.; Database management.; Information storage and retrieval.; Artificial intelligence.; Computers and civilization.; Computer Science.; Artificial Intelligence (incl. Robotics).; Computer Communication Networks.; Database Management.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).; Computers and Society.

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 basi...

Πίνακας περιεχομένων:

• Web Usage Analysis and User Modeling
• Mining Temporally Changing Web Usage Graphs
• Improving the Web Usage Analysis Process: A UML Model of the ETL Process
• Web Personalization and Recommender Systems
• Mission-Based Navigational Behaviour Modeling for Web Recommender Systems
• Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
• Collaborative Quality Filtering: Establishing Consensus or Recovering Ground Truth?
• Search Personalization
• Spying Out Accurate User Preferences for Search Engine Adaptation
• Using Hyperlink Features to Personalize Web Search
• Semantic Web Mining
• Discovering Links Between Lexical and Surface Features in Questions and Answers
• Integrating Web Conceptual Modeling and Web Usage Mining
• Boosting for Text Classification with Semantic Features
• Markov Blankets and Meta-heuristics Search: Sentiment Extraction from Unstructured Texts.