Abstract:
Web personalization is the process of
customizing a web site as per user‘s preferences by using
the data mining, taking advantage of the knowledge
acquired from the analysis of the user‘s navigational
behavior. With personalization, when a particular person
visits a Website, the recommendation can be designed
specifically for that person. The Dynamic E-Business
website can be designed using web personalization. The
proposed E-Business Web personalization model consists of
preprocessing, Knowledge Discovery using data mining and
recommendation engine. The proposed preprocessing
algorithm consists of three subroutines, namely Cleaning
non-required server log, Identification of User from IP
address and Log, Creating session for every user and
preparing Transaction file. The knowledge discover module
consists of Aprori Algorithm for TRP association rule,
Sequence Pattern Algorithm for Mining log and Access Log
and ID3 Algorithm for Classification of the registered Users
of the website. Depending on the Sequence pattern,
association rule and user class the recommendation module
recommends the desired web page link to the user
Description:
E-business architecture, Dynamic web ebusiness
system, Web mining, Data mining, Web
Personalization, Data mining algorithms
