Universiti Teknologi Malaysia Institutional Repository

Mining hidden information from library databases using SOM (Self Organizing Map)

Md. Sap, Mohd. Noor and Defit, Sarjon (2001) Mining hidden information from library databases using SOM (Self Organizing Map). In: Proceedings of the PPM/PSZ conference on knowledge management in the digital world, 22-24 Okt. 2001, Hotel Puteri Pan Pacific, Johor Bahru.

[img] PDF (Full text)


The proliferation of textual and multimedia databases, digital libraries, internet servers and intranet services has increased rapidly. It has turned researchers' and practitioners' dream of creating an information rich society into a nightmare of information gluts. Powerful methods are needed for the extraction of miscellaneous document collections. The Websom, information retrieval based on SOM, method organizes a document collection on a map display that provides an overview of the collection and facilitates interactive browsing. The potential of the Websom method has been tested where article from Usenet Newsgroups have been organized. Our study concludes that interesting documents can be retrieved by a content addressable search of interesting map locations. The interesting location should be marked as filters for collecting interesting new documents.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:digital library, data mining, information retrieval, clustering, self organizing map
Subjects:Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions:Computer Science and Information System
ID Code:2880
Deposited By: Zalinda Shuratman
Deposited On:18 May 2007 02:17
Last Modified:12 Sep 2017 06:18

Repository Staff Only: item control page