• 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