Mining hidden information from library databases using SOM (Self Organizing Map)
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 ne...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2001
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| Subjects: | |
| Online Access: | http://eprints.utm.my/2880/ http://eprints.utm.my/2880/1/MohdNoorMDSap2001_mining_hidden_information.pdf |
| _version_ | 1848890456278040576 |
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| author | Md. Sap, Mohd. Noor Defit, Sarjon |
| author_facet | Md. Sap, Mohd. Noor Defit, Sarjon |
| author_sort | Md. Sap, Mohd. Noor |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T20:42:21Z |
| format | Conference or Workshop Item |
| id | utm-2880 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T20:42:21Z |
| publishDate | 2001 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-28802017-09-12T06:18:30Z http://eprints.utm.my/2880/ Mining hidden information from library databases using SOM (Self Organizing Map) Md. Sap, Mohd. Noor Defit, Sarjon ZA Information resources 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. 2001 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/2880/1/MohdNoorMDSap2001_mining_hidden_information.pdf 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. |
| spellingShingle | ZA Information resources Md. Sap, Mohd. Noor Defit, Sarjon Mining hidden information from library databases using SOM (Self Organizing Map) |
| title | Mining hidden information from library databases using SOM (Self Organizing Map) |
| title_full | Mining hidden information from library databases using SOM (Self Organizing Map) |
| title_fullStr | Mining hidden information from library databases using SOM (Self Organizing Map) |
| title_full_unstemmed | Mining hidden information from library databases using SOM (Self Organizing Map) |
| title_short | Mining hidden information from library databases using SOM (Self Organizing Map) |
| title_sort | mining hidden information from library databases using som (self organizing map) |
| topic | ZA Information resources |
| url | http://eprints.utm.my/2880/ http://eprints.utm.my/2880/1/MohdNoorMDSap2001_mining_hidden_information.pdf |