WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles

WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
Author :
Publisher : Springer
Total Pages : 190
Release :
ISBN-10 : 9783540396635
ISBN-13 : 3540396632
Rating : 4/5 (632 Downloads)

Book Synopsis WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles by : Osmar R. Zaiane

Download or read book WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles written by Osmar R. Zaiane and published by Springer. This book was released on 2003-10-02 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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, Web usage data presents further challenges based on the di?culties of assigning data streams to unique users and tracking them over time. New innovations are required to reliably reconstruct sessions, to ascertain similarity and di?erences between sessions, and to be able to segment online users into relevant groups.


WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles Related Books

WEBKDD 2002 - Mining Web Data for Discovering Usage Patterns and Profiles
Language: en
Pages: 190
Authors: Osmar Zaïane
Categories: Computers
Type: BOOK - Published: 2003-10-13 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Mining Web Data, WEBKDD 2002, held in Edmonton, Canada, in J
Advances in Web Mining and Web Usage Analysis
Language: en
Pages: 259
Authors: Olfa Nasraoui
Categories: Computers
Type: BOOK - Published: 2007-12-07 - Publisher: Springer

DOWNLOAD EBOOK

Web mining and usage is a fast-moving and hugely important field of study. This new Springer text constitutes the thoroughly refereed post-proceedings of the 8t
The Adaptive Web
Language: en
Pages: 770
Authors: Peter Brusilovski
Categories: Computers
Type: BOOK - Published: 2007-04-24 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

This state-of-the-art survey provides a systematic overview of the ideas and techniques of the adaptive Web and serves as a central source of information for re
WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points
Language: en
Pages: 178
Authors: Ron Kohavi
Categories: Computers
Type: BOOK - Published: 2003-08-02 - Publisher: Springer

DOWNLOAD EBOOK

WorkshopTheme The ease and speed with which business transactions can be carried out over the Web has been a key driving force in the rapid growth of electronic
Web Usage Analysis and User Profiling
Language: en
Pages: 190
Authors: Brij Masand
Categories: Computers
Type: BOOK - Published: 2000-07-26 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

After the advent of data mining and its successful application on conventional data, Web-related information has been an appropriate and increasingly popular ta