A survey on swarm and evolutionary algorithms for web mining applications

Authors:
Ashok Kumar Panda;S. N. Dehuri;M. R. Patra;Anirban Mitra
Affiliations:
Department of CSE & IT, MITS, Rayagada, Orissa, India;Department of Inf. & Comm. Technology, F.M. University, Balesore, Orissa, India;Department of Computer Science, Berhampur University, Orissa, India;Department of CSE & IT, MITS, Rayagada, Orissa, India
Venue:
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part II
Year:
2011

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Abstract

Internet is the biggest source of data and information today. It is the family of web sites and informative files. This paper focuses mainly on the web data and proposes some conceptual theories to extract knowledge through different web mining techniques like Clustering,FIS,ANN,LGP etc. We also focused on various aspects of applications of web mining in E-commerce & Business Intelligence. Finally, we discussed Swarm Intelligence(SI) techniques which are based on distributive self organized system such as Ant Colony Optimization (ACO), Stochastic Diffusion Search (SDS) and Particle Swarm Optimization (PSO) in brief in this survey which are preferred because of its vast uses and simplicity.