• DocumentCode
    3473561
  • Title

    A Simple Approach of Data Mining in Excel

  • Author

    Tang, Hewen

  • Author_Institution
    Comput. Sci. Dept., Yuxi Normal Univ., Yuxi
  • fYear
    2008
  • fDate
    12-14 Oct. 2008
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Data mining is a new method of data analysis, especially very large datasets analysis. Nowadays it is becoming more and more popular in data handling. It is a rapidly growing field, whose development is driven by strong research interests as well as urgent practical, social, and economical needs. However, it generally requires much specialty knowledge. It is not easy for people without specialty knowledge to handle very large datasets with data mining. This paper describes an approach of data mining with Excel using the XLMiner add-in. Using this approach, data preparation can be easily accomplished in Excel. Almost every one can use Excel experienced. Therefore, data mining in Excel can be implemented easily, not only by people with specialty knowledge but also by people without specialty knowledge. This paper presents an example of mining association rules to illustrate all the steps of this approach.
  • Keywords
    data mining; very large databases; Excel; association rules; data mining; very large datasets analysis; Association rules; Business; Computer science; Data analysis; Data handling; Data mining; Engineering management; Medical diagnostic imaging; Power system management; Transaction databases;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-1-4244-2107-7
  • Electronic_ISBN
    978-1-4244-2108-4
  • Type

    conf

  • DOI
    10.1109/WiCom.2008.2679
  • Filename
    4680868