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Titlebook: WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points; Third International Ron Kohavi,Brij M. Masand,Jaideep Srivastava Conf

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发表于 2025-3-21 16:58:16 | 显示全部楼层 |阅读模式
书目名称WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points
副标题Third International
编辑Ron Kohavi,Brij M. Masand,Jaideep Srivastava
视频video
概述Includes supplementary material:
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: WEBKDD 2001 - Mining Web Log Data Across All Customers Touch Points; Third International  Ron Kohavi,Brij M. Masand,Jaideep Srivastava Conf
描述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 commerce. In addition, customer interactions, including personalized content, e-mail c- paigns, and online feedback provide new channels of communication that were not previously available or were very ine?cient. The Web presents a key driving force in the rapid growth of electronic c- merceandanewchannelforcontentproviders.Knowledgeaboutthecustomeris fundamental for the establishment of viable e-commerce solutions. Rich web logs provide companies with data about their customers and prospective customers, allowing micro-segmentation and personalized interactions. Customer acqui- tion costs in the hundreds of dollars per customer are common, justifying heavy emphasis on correct targeting. Once customers are acquired, customer retention becomes the target. Retention through customer satisfaction and loyalty can be greatly improved by acquiring and exploiting knowledge about these customers and their needs. Althoughweblogsarethesourceforvaluableknowledgepatterns,oneshould keep in mind that the Web is only one of the interactio
出版日期Conference proceedings 2002
关键词Association Rule Mining; Cisco; Cluster Analysis; Customer Management; Data Mining; E-Commerce; Internet D
版次1
doihttps://doi.org/10.1007/3-540-45640-6
isbn_softcover978-3-540-43969-1
isbn_ebook978-3-540-45640-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2002
The information of publication is updating

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Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences,cording Web usage become more complex. While Web usage mining provides for the syntactic specification of structured patterns like association rules or (generalized) sequences, it is less clear how to analyze and visualize usage data involving longer patterns with little expected structure, without
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Detail and Context in Web Usage Mining: Coarsening and Visualizing Sequences,cording Web usage become more complex. While Web usage mining provides for the syntactic specification of structured patterns like association rules or (generalized) sequences, it is less clear how to analyze and visualize usage data involving longer patterns with little expected structure, without
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A Cube Model and Cluster Analysis for Web Access Sessions,n e-commerce. Clustering and sequential analysis are two primary techniques for mining navigational patterns from Web and application server logs. The characteristics of the log data and mining tasks require new data representation methods and analysis algorithms to be tested in the e-commerce envir
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