Work place: Department of Computer Applications, Hindusthan College of Arts and Science, Coimbatore, TamilNadu, India
E-mail: avsenthilkumar@yahoo.com
Website: https://scholar.google.co.in/citations?user=ZpkDEdAAAAAJ&hl=en
Research Interests: Fuzzy Theory, Data Mining, Intelligent Systems, Fuzzy Systems
Biography
Dr. A.V.Senthil Kumar obtained his BSc Degree (Physics) in 1987, P.G.Diploma in Computer Applications in 1988, MCA in 1991 from Bharathiar University. He obtained his Master of Philosophy in Computer Science from Bharathidasan University, Trichy during 2005 and his Ph.D in Computer Science from Vinayaka Missions University during 2009.
To his credit he had industrial experience for five years as System Analyst in a Garment Export Company. Later he took up teaching and attached to CMS College of Science and Commerce, Coimbatore and now he working as Director & Professor in the Department of MCA since 05/03/2010. He has to his credit 3 Book Chapters, 10 papers in International Journals, 2 papers in National Journals, 13 papers in International Conferences, 5 papers in National Conferences, and edited a book in Data Mining (IGI Global, USA) and a book in Mobile Computing (IGI Global, USA). He is an Editor-in-Chief for International Journal titled “International Journal of Data Mining and Emerging Technologies”, “International Journal of Image Processing and Applications”, International Journal of Advances in Knowledge Engineering & Computer Science”, “ International Journal of Advances in Computers and Information Engineering” and “International Journal of Research and Reviews in Computer Science”. Key Member for India, Machine Intelligence Research Lab (MIR Labs).
He is an Editorial Board Member and Reviewer for various International Journals. He is also a Committee member for various International Conferences. He is a Life member of International Association of Engineers (IAENG), Systems Society of India (SSI), member of The Indian Science Congress Association, member of Internet Society (ISOC), International Association of Computer Science and Information Technology (IACSIT), Indian Association for Research in Computing Science (IARCS), and committee member for various International Conferences. He has got many awards from National and International Societies. Also a freelance writer for Tamil Computer (a fortnightly) and PC Friend (monthly).
By R.Umagandhi A.V. Senthil Kumar
DOI: https://doi.org/10.5815/ijitcs.2015.08.04, Pub. Date: 8 Jul. 2015
Tremendous growth of the Web, lack of background knowledge about the Information Retrieval (IR), length of the input query keywords and its ambiguity, Query Recommendation is an important procedure which analyzes the real search intent of the user and recommends set of queries to be used in future to retrieve the relevant and required information. The proposed method recommends the queries by generating frequently accessed queries, rerank the recommended queries and evaluates the recommendation with the help of the ranking measures Normalized Discounted Cumulative Gain (NDCG) and Coefficient of Variance (CV). The proposed strategies are experimentally evaluated using real time American On Line (AOL) search engine query log.
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