Application of radial basis function neural networks on web logs (Record no. 11401)

MARC details
000 -LEADER
fixed length control field 00965npc a2200157Ia 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140613s2012 xx 000 0 und d
060 ## - NATIONAL LIBRARY OF MEDICINE CALL NUMBER
Classification number 006.32
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name DASH, SANJEEV KUMAR
245 ## - TITLE STATEMENT
Title Application of radial basis function neural networks on web logs
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Date of publication, distribution, etc. 2012
300 ## - PHYSICAL DESCRIPTION
Extent 53-63
520 ## - SUMMARY, ETC.
Summary, etc. 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.
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name PANDIA, MANOJ KUMAR
773 ## - HOST ITEM ENTRY
Other item identifier P14499
Note M
Host Itemnumber 33642
Host Biblionumber 11231
Title IUP: JOURNAL OF INFORMATION TECHNOLOGY
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Articles

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