Extracting meaningful labels for WEBSOM text archives

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2001, Pages 41-48

  Azcarraga, Arnulfo P ^a   Yap Jr , Teddy N ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATA REDUCTION; INFORMATION RETRIEVAL SYSTEMS; SELF ORGANIZING MAPS;

TEXT ARCHIVES;

TEXT PROCESSING;

EID: 0035751080     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502590.502593     Document Type: Conference Paper

References (18)

1. Feature weighting for lazy learning algorithms
2. SOM-based methodology for building large text archives
3. Using growing hierarchical self-organizing maps for document classification
4. WEBSOM-self-organizing maps of document collections
5. Statistical aspects of the WEBSOM system in organizing document collections
6. Self-organization of very large document collections: State of the art
7. WEBSOM for textual data mining
8. A self-organizing semantic map for information retrieval
9. Using competitive networks for text mining
10. Uncovering the hierarchical structure of text archives by using an unsupervised neural network with adaptive architecture
11. Automatic labeling of self-organizing maps: Making a treasure maps reveal ifs secrets
12. Weight adjustment schemes for a centroid based classifier
13. An evaluation of statistical approaches to text categorization