Title :
Ontology-Assisted Query Formulation in Multidimensional Association Rule Mining
Author :
Wu, Chin-Ang ; Lin, Wen-Yang ; Wu, Chuan-Chun
Author_Institution :
I- Shou Univ., Kaohsiung
Abstract :
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.
Keywords :
data mining; data warehouses; ontologies (artificial intelligence); query processing; data warehouse; electronic information resource; multidimensional association rule mining; ontology-assisted query formulation; Association rules; Cities and towns; Computer science; Data mining; Data warehouses; Databases; Information management; Information technology; Multidimensional systems; Ontologies;
Conference_Titel :
Granular Computing, 2007. GRC 2007. IEEE International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3032-1
DOI :
10.1109/GrC.2007.106
