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Can I read WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers (Lecture Notes in Computer Science, 2703) on EtoBox?

WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers (Lecture Notes in Computer Science, 2703) by Osmar R. Zaiane; Jaideep Srivastava; Myra Spiliopoulou; Brij Masand is a nonfiction available to read on EtoBox.

What is WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers (Lecture Notes in Computer Science, 2703) about?

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 Insights From Web Usage Data, Aiming Toevaluatewebusability,understandtheinterestsandexpectationsofusersand Assess The E?ectiveness Of Content Delivery. The Maturing And Expanding Web Presents A Key Driving Force In The Rapid Growth Of Electronic Commerce And A New Channel For Content Providers. Customized O?ers And Content, Made Possible By Discovered Knowledge About The Customer, Are Fundamental For The Establi- Ment Of Viable E-commerce Solutions And Sustained And E?ective Content Delivery In Noncommercial Domains. Rich Web Logs Provide Companies With Data About Their Online Visitors And Prospective Customers, Allowing Microsegmentation And Personalized Interactions. While Web Mining As A Domain Is Several Years Old, The Challenges That Characterize Data Analysis In This Area Continue To Be Formidable. Though P- Processing Data Routinely Takes Up A Major Part Of The E?ort In Data Mining

Who reads WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles: 4th International Workshop, Edmonton, Canada, July 23, 2002, Revised Papers (Lecture Notes in Computer Science, 2703)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Osmar R. Zaiane; Jaideep Srivastava; Myra Spiliopoulou; Brij Masand
Publisher
JAIDEEP SRIVASTAAVA,MYRA SPILIOPOULOU,BRIJ MASAND,SPRINGER-VERLAG BERLIN HEIDELBERG
Published
2003
Language
EN
ISBN
9783540396635
Category
nonfiction
Subjects
Computer Science, Business, Management

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