Rauber A, Merkl D "Mining text archives: Creating readable maps to structure and describe document collections" PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 1704: 524-529 1999

[Eugene Garfield]

Andreas Rauber : rauber at ifs.tuwien.ac.at

www.ifs.tuwin.ac.at/~andi

TITLE      Mining text archives: Creating readable maps to structure and
           describe document collections
AUTHOR     Rauber A, Merkl D

JOURNAL   PRINCIPLES OF DATA MINING AND KNOWLEDGE DISCOVERY
          LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 1704: 524-529 1999

 Document type: Article
 Language: English
 Cited References: 8
 Times Cited: 0


Abstract:
With the ever-growing amount of unstructured textual data on the web, mining
these text collections is of increasing importance for the understanding of
document archives. Particularly the self-organizing map has shown to be very
well suited for this task. However, the interpretation of the resulting
document maps still requires a tremendous effort, especially as far as the
analysis of the features learned and the characteristics of identified text
clusters are concerned. In this paper we present the LabelSOM method which,
based on the features learned by the map, automatically assigns a set of
keywords to the units of the map to describe the concepts of the underlying
text clusters, thus making the characteristics of the various topical areas
on the map explicit.

Addresses:
Rauber A, Vienna Univ Technol, Inst Software Technol, Vienna, Austria
Vienna Univ Technol, Inst Software Technol, Vienna, Austria

Publisher:
SPRINGER-VERLAG BERLIN, BERLIN

IDS Number:
BS61Q

ISSN:
0302-9743


 Cited Author            Cited Work                Volume      Page   Year

 KASKI S               ELSEVIR PUBL                                    1997
 KOHONEN T             SELF ORGANIZING MAPS                            1995
 MERKL D               NEUROCOMPUTING                21                1998
 MERKL D               P WORKSH SELF ORG MA                            1997
 RAUBER A              P EUR C DIG LIBR SYS                            1999
 RAUBER A              P INT C ART NEUR NET                            1998
 SALTON G              AUTOMATIC TEXT PROCE                            1989
 ULTSCH A              INFORMATION CLASSIFI                            1993