chool of Business Research – FY 2007 Research Abstracts Dare to Share: Protecting Sensitive Knowledge with Data Sanitization Data sanitization is a process that is used to promot...
Existing association rule mining algorithms suffer from many problems when mining massive transactional datasets. Some of these major problems are: (1) the repetitive I/O disk sca...
The proliferation of information on the world wide web has made the personalization of this information space a necessity. One possible approach to web personalization is to mine ...
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
WebLQM is a system with capabilities to locate, query and mine web communities on the Internet. WebLQM has a special way to define the World Wide Web, its contents and relations. ...