Authors
Timo Honkela, Samuel Kaski, Teuvo Kohonen, Krista Lagus
Publication date
1998
Conference
Classification, Data Analysis, and Data Highways: Proceedings of the 21st Annual Conference of the Gesellschaft für Klassifikation eV, University of Potsdam, March 12–14, 1997
Pages
245-252
Publisher
Springer Berlin Heidelberg
Description
Powerful methods are needed for interactive exploration and search from collections of miscellaneous textual documents that are available in the electronic media. Searching from text documents has traditionally been based on keywords and Boolean expressions. With the WEBSOM method a document collection may be organized into a map display that provides an overview of the collection and facilitates interactive browsing. Interesting documents can be retrieved by a content addressable search. The WEBSOM method is based on using the Self-Organizing Map algorithm for automatically learning relevant structures in the text and for organizing the document collection.
Total citations
Scholar articles
T Honkela, S Kaski, T Kohonen, K Lagus - Classification, Data Analysis, and Data Highways …, 1998
T Honkela, K Lagus, S Kaski - Visual Explorations in Finance: with Self-Organizing …, 1998