• DocumentCode
    458753
  • Title

    Data Mining Exploration System for Feature Selection Tasks

  • Author

    Suraj, Zbigniew ; Delimata, Pawel

  • Author_Institution
    Dept. of Comput. Sci., Rzeszow Univ.
  • Volume
    1
  • fYear
    2006
  • fDate
    9-11 Nov. 2006
  • Firstpage
    284
  • Lastpage
    286
  • Abstract
    The area of data mining and knowledge discovery is inherently associated with databases. Data mining methods are used in the process of knowledge discovery to reveal new pieces of knowledge from large databases. One of the stages in that process is a feature selection. A feature selection is usually meant as a process of finding a subset of features from the original set of features forming patterns in a given data set, optimal according to the defined goal and criterion of feature selection. The aim of this paper is to present the main functionalities of the data mining exploration system (DMES) (P. Delimata, 2005) and to explain its usefulness to the feature selection tasks. The DMES is an integrated software system that incorporates many algorithms which can be used in data mining
  • Keywords
    data mining; very large databases; data mining exploration system; feature selection tasks; knowledge discovery; large databases; Computer science; Computer science education; Data mining; Delta modulation; Greedy algorithms; Information technology; Iris; Machine learning algorithms; Spatial databases; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Information Technology, 2006. ICHIT '06. International Conference on
  • Conference_Location
    Cheju Island
  • Print_ISBN
    0-7695-2674-8
  • Type

    conf

  • DOI
    10.1109/ICHIT.2006.253500
  • Filename
    4021103