Data Mining

(redirected from Usage mining)
Also found in: Dictionary, Thesaurus, Medical, Encyclopedia.

Data Mining

The practice of looking for a pattern in a large amount of seemingly random data. Data mining is usually done with a computer program and helps in marketing. That is, a company can look at the (publicly available) purchase patterns of a person or group of persons and determine what products to direct at them.
References in periodicals archive ?
Definition 3 Web usage mining is a process of analyzing information left by user access to the Web server and finding user access patterns (Huml J.
The web usage mining approach in practical applications of business intelligence has been the objective of many works.
Generally, it is easily determined that usage mining has valuable responses to the marketing of businesses and a direct impact to the success of their promotional strategies and internet traffic.
Web Usage Mining is the extraction of information from web log files generated when a user visits the website [1].
Study on Web Mining Algorithm based on Usage Mining.
A Web Usage Mining Framework for Mining Evolving User Profiles in Dynamic Web Sites", IEEE transaction on Knowledge and dataengineering,Volume 20,Issue 2, Feb 2008 pp.
Automatic recommendations for e-learning personalization based on web usage mining techniques and information retrieval.
But usually, the traditional e-learning platform does not directly support any of web usage mining methods.
Web usage mining extracts rules and patterns from access logs, see Figure 1.
It is anticipated, though, that Web usage mining is particularly difficult due to a gap between the advances of human-computer interaction, the practice of Web site organization, and the support offered by Web usage miners in evaluating the quality of a site.
Other related methods includes cleaning of data for data mining and warehousing [18], duplicate data detection in text databases [12] and preprocessing for usage Mining [16].
A taxonomic relationship learning approach for log ontology content event is proposed in this paper, which integrates web content mining and web usage mining.