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
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;
Journal_Title :
Intelligent Systems and their Applications, IEEE
DOI :
10.1109/5254.784086
