By Topic

Developing a dynamic web recommendation system based on incremental data mining

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Niranjan, U. ; Rao & Naidu Eng. Coll., Ongole, India ; Krishna, V.V. ; Srividya, K. ; Khanaa, V.

Web recommendation systems are used to assist the user to access the most appropriate web pages that can satisfy their needs. This paper provides the web recommendation system which is based on incremental database. We have proposed a novel algorithm, called modified IncSpan for the effectual mining of the sequential patterns from the incremental database. The modified IncSpan algorithm can be able to discover the sequential patterns from the incremental database based on the sequential patterns obtained from the insert and append database and the closed sequential patterns are obtained from the resultant sequential patterns.

Published in:

Electronics Computer Technology (ICECT), 2011 3rd International Conference on  (Volume:3 )

Date of Conference:

8-10 April 2011