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Akerkar R.,Vestlandsforsking | Badica C.,University of Craiova | Burdescu D.D.,University of Craiova
ACM International Conference Proceeding Series | Year: 2012

The Web has an immense impact on our daily activities at work, home, and leisure. As a result, more effective and efficient methods and technologies are needed to make the most of the Web's practically unlimited potential. The new Web-related research directions include intelligent methods usually associated with the areas of Computational Intelligence, Semantic Web, Soft Computing, and Data Mining. In this article, the necessity for research on Web intelligence, mining and semantics (WIMS) is discussed together with ways in which a wide range of research is benefiting this area for the long-term. Also the WIMS conference's goal and structure are presented. Copyright 2012 ACM. Source


Akerkar R.,Vestlandsforsking | Maret P.,Jean Monnet University | Vercouter L.,INSA Rouen
ACM International Conference Proceeding Series | Year: 2012

Web Intelligence deals with intelligent methods and information & communication technologies that are integrated to enhance different web-based applications. Communities are popular, particularly on the World Wide Web, as a means for like-minded individuals to pursue common goals. Communities appear as a first-class object in the areas of web intelligence and agent technologies, as well as a crucial crossroads of several subdomains (i.e. user modelling, protocols, data management, data mining, content modelling, etc.). These sub-domains impact the nature of the communities and the applications which are related to them. In this editorial, the use of Web Intelligence and communities is discussed together with ways in which a wide range of research is benefiting this area for the long-term. Also the WI&C workshop's goal and structure are introduced. Copyright © 2012 ACM. Source


Mankad K.,ISTAR Group | Sajja P.S.,Sardar Patel University | Akerkar R.,Vestlandsforsking
Communications in Computer and Information Science | Year: 2011

The proposed work focuses on Genetic-Fuzzy approach to identify student's skills. It is an integrated approach of education and technology implementing Theory of Multiple Intelligence. The objective is to reduce the system's developmental and maintenance effort and automatically evolve strong rules. The proposed model is a novel evolutionary hybrid approach to measure and classify multiple intelligence in a friendly way. The paper includes general architecture of the model with front end and back end designs including encoding strategy, fitness function, crossover operator, and sample evolved rules and results. It concludes with the scope and application of the work to other domains. © Springer-Verlag Berlin Heidelberg 2011. Source


Maret P.,Jean Monnet University | Akerkar R.,Vestlandsforsking | Vercouter L.,INSA Rouen
WWW 2015 Companion - Proceedings of the 24th International Conference on World Wide Web | Year: 2015

The World Wide Web (WWW) provides precious means for communication, which goes far beyond the traditional communication media. Web-based communities have become imperative spaces for individuals to seek and share expertise. Networks in these communities usually differ in their topology from other networks such as the World Wide Web. In this paper, we explore some research issues of web intelligence and communities. We will also introduce the WIandC'15 workshop's goal and structure. Source


Akerkar R.,Vestlandsforsking | Sajja P.S.,Sardar Patel University
Communications in Computer and Information Science | Year: 2010

Artificial Neural Network (ANN) and Fuzzy Logic (FL) are two important and useful technologies having their strengths and weaknesses. The combination of fuzzy logic and neural networks constitutes a powerful means for intelligent system development and offers dual advantages of the technologies. This article describes four approaches of neuro-fuzzy systems with their broad design and also presents general structure of a business advisory system using hybrid neuro-fuzzy approach. The system utilizes ANN that considers basic parameters and data from the environment for selection of a small-scale business in the given area and generates rules accordingly. Finally, the article presents sample rules extracted from the neuro-fuzzy system, screens for the interface design and parameters for implementation. © Springer-Verlag Berlin Heidelberg 2010. Source

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