Application of radial basis function neural networks on web logs
Material type:![Mixed materials](/opac-tmpl/lib/famfamfam/MX.png)
- 006.32
Item type | Current library | Call number | Vol info | Status | Date due | Barcode | |
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SSCBS Library | 8/3 | Available | P14499 |
With the rapid growth of World wid web (WWW), it is very difficult for website owners to track and understand the need of the users. Hence, a semiautomatic intelligent analyzer can be used to find out the browsing patterns of a user. Moreover, thepatters which is revealed from this deluge of web access logs must be interesting, useful and understandable. With these three objectives, this paper uses a radial basis function neural network to classify the webpages based on the time of accessand region of access.
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