• DocumentCode
    1637707
  • Title

    Classification data exploration methods in modern real-time data warehouse

  • Author

    Chapinski, J. ; Mazur, P. ; Murlewski, J. ; Kaminski, M. ; Sakowicz, B.

  • Author_Institution
    Dept. of Microelectron. & Comput. Sci., Tech. Univ. of Lodz, Lodz, Poland
  • fYear
    2008
  • Firstpage
    569
  • Lastpage
    572
  • Abstract
    The goal of this article is to introduce problems that may arise during analysis of classification methods used in data mining applications. In the following sections some of the most common classification techniques are described along with several proposed extensions which allow these methods to be used in incremental data warehouses. The primary focus was aimed at problem of performing incremental learning methods that may be used in near real-time data warehousing applications.
  • Keywords
    data handling; data mining; data warehouses; learning (artificial intelligence); classification data exploration method; data mining; incremental data warehouse; incremental learning method; modern real time data warehouse; Artificial neural networks; Classification algorithms; Classification tree analysis; Data mining; Data models; Learning systems; classification; data mining; data warehouse; decision trees; naive Bayes classifier; neural networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modern Problems of Radio Engineering, Telecommunications and Computer Science, 2008 Proceedings of International Conference on
  • Conference_Location
    Lviv-Slavsko
  • Print_ISBN
    978-966-553-678-9
  • Type

    conf

  • Filename
    5423441