G. Narsimha

Work place: JNTUH College of Engineering, Jagityal, Telangana, India

E-mail: narsimha06@gmail.com

Website:

Research Interests: Information Systems, Data Mining, Information Retrieval, Information Storage Systems, Multimedia Information System, World Wide Web, Data Structures and Algorithms

Biography

Dr G Narsimha, received the B.E in Electronics and Communication Engineering, University College of Engineering in Osmania University Hyderabad, A.P, India . He passed in 1996 M.Tech in Computer Science and Engineering, University College of Engineering, Osmania University Hyderabad, A.P. India. Passed in 1999. Ph.D in Computer Science and Engineering, University College of Engineering, Osmania University Hyderabad, A.P. India. July 2009. He has about 17 years 6 months of teaching experience. He has successfully guided 3 doctoral students in the fields of Adhoc Networks and Data mining, while several other 10 students are being supervised by him in a wide variety of other fields like Data Mining, Mobile computing and Network security etc. He served as an academic supervisor to more than 150 Master Degree dissertations towards the award of M.Tech Degree and degree in Master of Computer Applications. He has published more than 25 research papers in reputed International Journals. He shared his research experience more than 50 podiums like conferences, workshops, seminars and Symposium. Presently, he is Associate Professor in Computer Science and Engineering Department at JNTUH College of Engineering, Nachupally, Karimnagar.

Author Articles
Web Search Customization Approach Using Redundant Web Usage Data Association and Clustering

By N. Krishnaiah G. Narsimha

DOI: https://doi.org/10.5815/ijieeb.2016.04.05, Pub. Date: 8 Jul. 2016

The massive growth of web consists of huge number of redundant information in related to some context. Due to which the need of information through a search provide high number of duplicate results which makes user to navigate number of sites to find the needed information. Users often miss their search pages when they browse the large and complex navigation of the web. Web customization is based on the use of the web logs can take advantage of the knowledge necessary to study the content and the structure of the internet to support. Searching information can be improvised in support of the implicit information generated by the web server in form logs for various web documents visited by users. This paper proposes a web search customization approach (WSCA) using redundant web usage data association and hierarchal clustering. Association generates a multilevel association for redundant data in the web navigation sites and clustering generates a cluster of frequent access patterns. The approach will improvise the real-time customization and also cost requirement for generating customized resources. The experiment evaluation shows an improvisation in precision rate in relevant to different queries against existing clustering approach.

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