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

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

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
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).
Διαθέσιμο Online:	Full Text via HEAL-Link

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