• DocumentCode
    1544665
  • Title

    Maximizing text-mining performance

  • Author

    Weiss, Sholom M. ; Apte, Chidamand ; Damerau, Fred J. ; Johnson, D.E. ; Oles, Frank J. ; Goetz, Thilo ; Hampp, T.

  • Author_Institution
    IBM Thomas J. Watson Res. Center, Yorktown Heights, NY, USA
  • Volume
    14
  • Issue
    4
  • Firstpage
    63
  • Lastpage
    69
  • Abstract
    The authors´ adaptive resampling approach surpasses previous decision-tree performance and validates the effectiveness of small, pooled local dictionaries. They demonstrate their approach using the Reuters-21578 benchmark data and a real-world customer E-mail routing system
  • Keywords
    adaptive systems; data mining; data warehouses; decision trees; dictionaries; electronic mail; full-text databases; sampling methods; software performance evaluation; Reuters-21578 benchmark data; adaptive resampling approach; customer electronic mail routing system; decision trees; performance maximization; pooled local dictionaries; text mining; Classification tree analysis; Decision trees; Degradation; Dictionaries; History; Humans; Mood; Nearest neighbor searches; Prediction methods; Testing;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems and their Applications, IEEE
  • Publisher
    ieee
  • ISSN
    1094-7167
  • Type

    jour

  • DOI
    10.1109/5254.784086
  • Filename
    784086
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1544665