• DocumentCode
    2150959
  • Title

    Revealing sales trends through data mining

  • Author

    Plessas-Leonidis, Spyros ; Leopoulos, Vrassidas ; Kirytopoulos, Konstantinos

  • Author_Institution
    Mech. Eng. Dept., Nat. Tech. Univ. of Athens, Athens, Greece
  • Volume
    1
  • fYear
    2010
  • fDate
    26-28 Feb. 2010
  • Firstpage
    682
  • Lastpage
    687
  • Abstract
    Data mining is defined as the process of discovering patterns in data. This paper presents a case study of the implementation of data mining techniques in revealing sales trends within the publishing industry. Conclusions of this research, based on successful and unsuccessful trials, indicate that data mining is indeed a valuable tool, however, selection of the appropriate variables - data to be used in relevant models is the only parameter that can define the predictive success or not of the algorithms.
  • Keywords
    data mining; pattern clustering; publishing; data mining; data patterns; publishing industry; revealing sales trends; valuable tool; Data mining; Economic forecasting; Engineering management; Financial management; Marketing and sales; Mechanical engineering; Mining industry; Predictive models; Pricing; Publishing; case study; data mining; sales forecasting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-5585-0
  • Electronic_ISBN
    978-1-4244-5586-7
  • Type

    conf

  • DOI
    10.1109/ICCAE.2010.5451296
  • Filename
    5451296