WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Zaiane, Osmar R. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Srivastava, Jaideep (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Spiliopoulou, Myra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Masand, Brij (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2003.
• Έκδοση: 1st ed. 2003.
• Σειρά: Lecture Notes in Artificial Intelligence ; 2703
• Θέματα: Computer science.; Artificial intelligence.; Computer communication systems.; Database management.; Information storage and retrieval.; Application software.; Popular Computer Science.; Artificial Intelligence.; Computer Communication Networks.; Database Management.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).

1 WorkshopTheme Data mining as a discipline aims to relate the analysis of large amounts of user data to shed light on key business questions. Web usage mining in particular, a relatively young discipline, investigates methodologies and techniques that - dress the unique challenges of discovering in...