Updated: 3/13/2009; 9:18:00 AM.
EduResources Weblog--Higher Education Resources Online
This weblog focuses on locating, evaluating, discussing, and providing guidelines to instructional resources for faculty and students in higher education. The emphasis is on free, shared, HE resources. Related topics and news (about commercial resources, K-12 resources, T&D resources, educational technology, digital libraries, distance learning, open source software, metadata standards, cognitive mapping, etc.) will also be discussed--along with occasional excursions into more distant miscellaneous topics in science, computing, and education. The EduResources Weblog operates in conjunction with a broader weblog called The Open Learner about using open knowledge resources across a diversity of subjects, levels, and interests for a wide range of learners and learning communities--students in schools and colleges, home schoolers, hobbyists, vocational learners, retirees, and others.
        

Tuesday, September 20, 2005

This issue of InfoVis discusses the use of visualization in web mining. Most examples are taken from commercial web sites, but it's clear that web mining tools could be valuably applied to course and learning object repositories to gain a better view about how users access and explore, and about how to improve the web structures of repositories: "... it's crucial to know the real structure of the web, its contents and the usage the customers make of it." ___JH


______
"Web mining can be defined as the integration of the information gathered by traditional data mining methods and techniques with information related to the web. In a simplified way we could say that it's data mining adapted to the particularities of the web."

"Web mining is a discipline with an important potential. Despite the increasing and huge volume of existing web sites the proportion of them using web mining tools to analyse their structure, contents and usage in order to improve the service to the user and the profitability of the business is still low.
On the other hand, web mining suffers from the same problems of the general excess of information: we need visualisation tools to enable us to digest and interpret the many results it provides."



8:23:53 AM    COMMENT []

© Copyright 2009 Joseph Hart.
 
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