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Journal ArticleDOI

Web usage mining for Web site evaluation

Myra Spiliopoulou
- 01 Aug 2000 - 
- Vol. 43, Iss: 8, pp 127-134
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TLDR
Making a site better fit its users by knowing about the needs of potential customers and the ability to establish personalized services that satisfy these needs is key to winning this competitive race.
Abstract
T he Web has become a borderless marketplace for purchasing and exchanging goods and services. While Web users search for, inspect and occasionally purchase products and services on the Web, companies compete bitterly for each potential customer. The key to winning this competitive race is knowledge about the needs of potential customers and the ability to establish personalized services that satisfy these needs. Making a site better fit its users.

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Citations
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Book ChapterDOI

Building web navigation agents using domain-specific ontologies

TL;DR: This paper proposes a method of constructing navigation agents that provide more personalized Web navigation by exploiting domain-specific ontologies which employ a hierarchical concept structure.
Book ChapterDOI

Evaluating the Utility of Web-Based Consumer Support Tools Using Rough Sets

TL;DR: The authors evaluated the procedure using two support tools, one based on a tool developed by the US-EPA and the other developed by one of the authors called cogito, and found that both tools could be improved from additional enhancements.
References
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Proceedings ArticleDOI

Mining sequential patterns

TL;DR: Three algorithms are presented to solve the problem of mining sequential patterns over databases of customer transactions, and empirically evaluating their performance using synthetic data shows that two of them have comparable performance.
Book

Data Mining Techniques: For Marketing, Sales, and Customer Support

TL;DR: One of the first practical guides to mining business data, Data Mining Techniques describes techniques for detecting customer behavior patterns useful in formulating marketing, sales, and customer support strategies.
Journal ArticleDOI

Data Preparation for Mining World Wide Web Browsing Patterns

TL;DR: This paper presents several data preparation techniques in order to identify unique users and user sessions and Transactions identified by the proposed methods are used to discover association rules from real world data using the WEBMINER system.
Proceedings Article

Discovering generalized episodes using minimal occurrences

TL;DR: A general and flexible framework of specifying classes of generalized episodes that are recurrent combinations of events satisfying certain conditions is presented, which can be instantiated to a wide variety of applications by selecting suitable primitive conditions.
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