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
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Journal Article
Web Mining and Knowledge Detection of usage Patterns
Journal ArticleDOI
Future View: ブラウジング戦略の学習に基づくWebナビゲーション
TL;DR: A Future View system that assists user's usual Web browsing by prefetching Web pages based on user's browsing strategies and presenting them to a user in order to assist Web browsing.
Building a Strong Frequent Patterns for Using the Web
TL;DR: A frequent web usage pattern discovery method that can be applied after session reconstruction phase is proposed and an agent simulator is used, which models behavior of web users and generates web user navigation as well as the log data kept by the web server.
Query-Sets: UsingImplicitFeedbackandQueryPatterns toOrganizeWebDocuments
TL;DR: This work extends and formalizes as query model an existing but not very well known idea of query view for document representation and creates a novel model based on frequent query patterns called the query-set model, which reduces by more than 90% the number of features needed to represent a set of documents and improves the quality of the results.
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.