The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of APPLIED MATHEMATICS AND INFORMATICS
Transactions ID Number: 20-669
Full Name: POONKUZHALI SUGUMARAN
Position: Assistant Professor
Age: ON
Sex: Female
Address: RAJALAKSHMI ENGINEERING COLLEGE, CHENNAI-602 105
Country: INDIA
Tel: 044-22250968
Tel prefix:
Fax:
E-mail address: kuzhal_s@yahoo.co.in
Other E-mails: poonkuzhali.s@rajalakshmi.edu.in
Title of the Paper: Effective Algorithms for Improving the Performance of Search Engine Results
Authors as they appear in the Paper: G.Poonkuzhali, R.Kishore Kumar, R.Kripa Keshav,K.Thiagarajan, K.Sarukesi
Email addresses of all the authors: 1poonkuzhali.s@rajalakshmi.edu.in,rskishorekumar@yahoo.co.in,kripa_keshav@yahoo.co.in , profsaru@gmail.com
Number of paper pages: 8
Abstract: Search engine has become an important tool in today's world for searching various data like text, audio, video and images. While searching for information many users end up with irrelevant information causing a waste in user time and accessing time of the search engine. So to narrow down this problem, many researchers are involved in web mining, still the algorithms developed by them contains nearly 30% of outlaid content such as irrelevant and redundant information. In this paper, two Statistical approaches based on Proportions (Z-test hypothesis) and chi square test (T-test) is developed for mining this outlaid content. Also comparative studies between these two methods are presented. Elimination of this outlaid content during a searching process improves the quality of search engines further. The results show that the system easily provides relevancies and delivers dominant text extraction, supporting users in their query to efficiently examine and make the m!
ost of available web data sources. Experimental results revealed that statistical approach produces better results than chi square test.
Keywords: Chi Square Test, critical value, degrees of confidence, relevant, test statistic, web document
EXTENSION of the file: .pdf
Special (Invited) Session: Statistical Approach for Improving the Quality of Search Results
Organizer of the Session: 653-172
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