Using Incremental Fuzzy Clustering to Web Usage Mining

Avg Bid (INR)
Project Budget (INR)
₹1500 - ₹12500

Project Description:
The recent extensive growth of data on the Web,
has generated an enormous amount of log records on Web
server databases. Applying Web Usage Mining techniques
on these vast amounts of historical data can discover
potentially useful patterns and reveal user access
behaviors on the Web site. Cluster analysis has widely
been applied to generate user behavior models on Server
Web logs. Most of these off-line models have the problem
of the decrease of accuracy over time resulted of new users
joining or changes of behavior for existing users in model based approaches. This paper proposes a novel approach
to generate dynamic model from off-line model created by
fussy clustering. In this method, we will use users’
transactions periodically to change the off-line model. To
this aim, an improved model of leader clustering along
with a static approach is used to regenerate clusters in an
incremental fashion.

Skills required:
Data Mining, Engineering, Java, MySQL, SQL
Hire pravinkottawar
Project posted by:
pravinkottawar India
Public Clarification Board
Bids are hidden by the project creator. Log in as the employer to view bids or to bid on this project.
You will not be able to bid on this project if you are not qualified in one of the job categories. To see your qualifications click here.

₹ 13888
in 27 days
₹ 13888
in 10 days
₹ 13888
in 20 days