2007 IEEE International Conference on Granular Computing (GRC 2007)
Ontology-Assisted Query Formulation in Multidimensional Association Rule Mining
San Jose, California
November 02-November 04
ISBN: 0-7695-3032-X
In the information era, the development of various electronic information resources have dramatically grown, mining useful information from large databases has become one of the most important issues in information research for users. Information technologies have provided many applicable solutions, yet there are still many problems that cause users to spend extra time to get real knowledge. In this paper, we show an ontology based system framework for multi-dimensional association rule mining that incorporates ontologies in order to help users develop correct queries, reduce the system resource consumption and improve the efficiency of the mining process.
Citation:
Chin-Ang Wu, Wen-Yang Lin, Chuan-Chun Wu, "Ontology-Assisted Query Formulation in Multidimensional Association Rule Mining," grc, pp.358, 2007 IEEE International Conference on Granular Computing (GRC 2007), 2007