Developing a dynamic web recommendation system based on incremental data mining

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.