Application of radial basis function neural networks on web logs

By:

DASH, SANJEEV KUMAR

Contributor(s):

PANDIA, MANOJ KUMAR

Material type:

Mixed materialsPublication details: 2012Description: 53-63NLM classification:

006.32

In: IUP: JOURNAL OF INFORMATION TECHNOLOGYMSummary: 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.

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Call number	Vol info	Status	Date due	Barcode
Periodicals/Magazines	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.

There are no comments on this title.

to post a comment.