Recommender systems (RSs) for the web are used to generate recommendations for a set
of items that might be of interest to the user. RSs play an increasingly important role for a …

Analyzing and predicting behavior of node can lead to more secure and more appropriate
defense mechanism for attackers in the Mobile Adhoc Network. In this work, models for …

Nowadays, providing tools that eases the interaction of users with websites is a big
challenge in e-commerce. Recommender systems are useful tools which adapts the …

Analyzing and predicting navigational behavior of Web users can lead to more user friendly
and efficient websites which is an important issue in Electronic Commerce. Web …

The main Computational Intelligence (CI) models for personalization of interactive web
systems are identified as Fuzzy Systems, Genetic Algorithms, Neural Networks, Artificial …

Since from past few years huge volume of users are interacting with website for their day to
day transactions are being going up. In this regards numbers of companies are encroaching …

In the past half century of fuzzy systems they were used to solve a wide range of complex
problems, and the field of recommendation is no exception. The mathematical properties …

Web mining has been widely used to discover knowledge from various sources in the web.
One of the important tools in web mining is mining of web user's behavior that is considered …

The main computational intelligence methods (CI) for personalization of web-based systems
are identified and critical reviewed: Fuzzy Systems, Genetic Algorithms, Neural Networks …

Web Mining is one of the Developing field in research. Exact custom of the Web is to get the
beneficial material in the sites. To reduce the work time of user the Web Usage Mining …