Judging Analogous Data Search In Resultant Web Databases
Journal Title: International Journal of Science Engineering and Advance Technology - Year 2014, Vol 2, Issue 10
Abstract
The present scenario is based on internet technologies we are having a huge amount of useful Information which is usually having on the web databases but in not retaive effectively at the time of users needed. Information retrieval is major criteria for the people However it is indeed on WDBs. So. The Web has become the accessible media for many database applications, such as ecommerce and search medias. These applications store information in huge databases that user’s access, query, and update through the Web. Web sites have their own interfaces and access forms for creating HTML pages on the fly. Web database technologies define the way that these forms can connect to and retrieve data from database servers. In this paper we present a novel approach for annotating web search on the search engines like MSN. It automatically searches data using cluster techniques and present classify the retrieved data.
Authors and Affiliations
Kanna Govinda Raju| Student M.Tech, Dept. of Computer Science Engineering, Nimra College of Engineering & Technology, Vijayawada, Md Amantulla| Assistant Professor, Dept. of Computer Science Engineering, Nimra College of Engineering & Technology, Vijayawada, Sayeed Yasin| Head of Department Dept. of Computer Science Engineering, Nimra College of Engineering & Technology, Vijayawada
Keywords
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