DocumentCode
2544293
Title
The research of ontology-assisted data mining technology
Author
Zheng, Ling ; Li, Feng ; Gui, Hui
Author_Institution
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fYear
2010
fDate
16-18 April 2010
Firstpage
285
Lastpage
288
Abstract
Along with the extensive application of the database, data mining technology is facing the problem to deal with enormous heterogeneous data. In addition, that technicians are not familiar with the background knowledge of application areas often leads to data mining cannot be successfully implemented. To solve these problems, a kind of ontology-assisted data mining technology is proposed in this paper. Through using the technology to introduce the general domain knowledge into each steps of data mining, the defects in traditional data mining systems can be corrected and the efficiency of data mining can be improved dramatically. In the end, a test is performed by adopting this kind of technology in the Network Accelerator Customer Relationship Management System (Yeemu_CRM) of Beijing YEEMU Science and Technology Development Co., Ltd and the results testify the value of this technique.
Keywords
data mining; ontologies (artificial intelligence); YEEMU Science and Technology Development Co., Ltd; enormous heterogeneous data; general domain knowledge; network accelerator customer relationship management system; ontology-assisted data mining technology; Application software; Control engineering computing; Data engineering; Data mining; Data preprocessing; Data warehouses; Ontologies; Power engineering computing; System testing; XML; Data Mining; Domain Ontology; Ontology; Task Ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5263-7
Electronic_ISBN
978-1-4244-5265-1
Type
conf
DOI
10.1109/ICIME.2010.5477639
Filename
5477639
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