Directory: Top/Computers/Software/Internet/Site_Management/Log

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Intelligent Enterprise Magazine: Data Webhouse
Collection of articles by Richard Kimball, father of data warehousing, about making a web-data-based data warehouse.
http://www.intelligententerprise.com/ports/search_webhouse.shtml
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There's Gold in Them There Log Files!
Using your Web server log files to direct your traffic building efforts and measure your success.
http://wdvl.com/Internet/Management/
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Customising Your Logfiles
Tutorial from: Apache Week
http://www.apacheweek.com/features/logfiles
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Intelligent Enterprise Magazine - Up Close And Personal
A review of a collection of analysis and personalization tools.
http://www.intelligententerprise.com/000929/feat5.shtml
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Extended Log File Format
W3C's description of the Extended Log File Format. Most flexible of the log formats
http://www.w3.org/TR/WD-logfile.html
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Why Webstats are Meaningless
Outlines an argument claiming that WWW access statistics can be worse than meaningless. This document was originally written in 1995 to explain the statistics at Cranfield University.
http://www.goldmark.org/netrants/webstats/
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Intelligent Enterprise Magazine: Scalable Systems
A collection of articles about the issues in making huge data warehouses of web and clickstream data.
http://www.intelligententerprise.com/ports/search_scalable.shtml
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Web Analytics Move Across the Enterprise
The web has become a critical online artery for many enterprise business activities, but the analytics applied to Web-based computing have not kept pace with the real world, multichannel environment of most companies.
http://www.infoworld.com/articles/fe/xml/01/08/20/010820feedge.xml
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Drilling Down the Customer
By Michele Masterson. Aiming to crack the customer code and translate the browsing and buying habits of online shoppers into e-commerce dollars, many e-tailers are turning to usage-analysis software as an alternative to traffic measurement services, such
http://ecommerce.internet.com/news/insights/trends/article/0,,3551_205891,00.html
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LOGML - Log Markup Language
Designed to describe log reports of web servers. Mining web-data that has been collected from web server logfiles, is not only useful for studying customer choices, but also helps in organizing web pages. The structure of a web site is represented as a
http://www.cs.rpi.edu/~puninj/LOGML/
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