Efficient Web Data Extraction Using Clustering Approach in Web Usage Mining
Web usage mining is used to record user behavior. These records are further used to extract data which helps in search engine optimization. In this research work we propose an approach in which web logs are used in cluster forms. These clusters are designed according to the user behavior records in web logs. Hence when we search from these clusters instead of complete web log, searching time gets reduced.
Keywords: Web Mining, Web usage mining Clustering, Weblog.
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ABOUT THE AUTHORS
Neeraj Raheja
Neeraj Raheja is working as a Associate Professor in the department of computer Sc. & Engineering. He had done M.Tech in Computer Sc.& Engg.and pursuing Ph.d. His area of research are web technologies, web mining and data mining
V.K. Katiyar
Dr. V.K.Katiyar is working as a Professor & Head in the department of computer Sc. & Engineering. He had done Ph.D in Computer Sc.& Engg. His area of research are WSN, web mining etc.
Neeraj Raheja
Neeraj Raheja is working as a Associate Professor in the department of computer Sc. & Engineering. He had done M.Tech in Computer Sc.& Engg.and pursuing Ph.d. His area of research are web technologies, web mining and data mining
V.K. Katiyar
Dr. V.K.Katiyar is working as a Professor & Head in the department of computer Sc. & Engineering. He had done Ph.D in Computer Sc.& Engg. His area of research are WSN, web mining etc.