Journal ArticleDOI
Web usage mining for Web site evaluation
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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.read more
Citations
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Proceedings ArticleDOI
Effective Site Customization Based on Web Semantics and Usage Mining
TL;DR: This paper studies how to effectively detect the user interests that are hidden behind navigational patterns and introduces a novel recommendation mechanism that employs Web mining techniques for correlating the identified interests to the sitespsila semantic content, in order to customize them to specific users.
Book ChapterDOI
Techniques for visualizing website usage patterns with an adaptive neural network
TL;DR: The present chapter explores the use of an adaptive neural network to visualize the Website usage patterns and supports the identification of clusters of Web pages that are frequently visited together by users.
Book ChapterDOI
Web Users' Personality Traits Analysis
TL;DR: This work uses user clicks to analyze the user behaviour along with the content on the various websites that the user visits and develops a unique conceptual model which would prove to be extremely advantageous even in multi-user environments.
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
Heikki Mannila,Hannu Toivonen +1 more
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.