Date of Publication :13th March 2018

Abstract: Nowadays the growth of World Wide Web has better a lot with more assumption. Large amount of text, multimedia files, images website documents were present in the web and it is still increasing in its forms. Education Search engine has become an important daily network application tool to search information. Data mining is the form of extracting data present in the internet. We propose an Education Search Engine in two-stage technique, namely Smart Crawler, for efficient gathering deep web interfaces. To achieve more accurate results for a focused crawl, Smart Crawler ranks websites links to prioritize highly relevant result in websites link rankings. In the second stage, Web Usages mining in web scraping is a method for extracting textual characters from screens so that they could be analyzed. Web scraping is the process of collecting information from the World Wide Web. The results showed that the smart crawler and scarper can realize the high-efficient and flexible data collection function, and laid the foundation for Web data mining. This efficiently retrieves web data mining interface from large-scale sites and achieves higher.

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