NDLI: Deep Web Search in Data Mining for Data Extraction

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Deep Web Search in Data Mining for Data Extraction

Content Provider	CiteSeerX
Author	Das, Nripendra Narayan Gambhir, Dimpy
Abstract	Abstract:-WWW stands for World Wide Web, and it is an advanced information retrieval system. As years passed World Wide Web became weighed down with information and it became hard to retrieve data according to the need. The Web mining extracts useful information from the web pages. Web mining techniques seek to extract knowledge from Web data, including web documents, hyperlinks between documents, and usage logs of web sites. Web usage mining mines knowledge from diverse websites. Extracting appropriate data from deep web pages is an exigent dilemma due to the overflow of data in to the web. Web servers generates a huge amount of information on web users browsing activities. These are called click stream or web access log data. The click stream data can be enriched with information about the content of visited pages. The aim of this paper is to obtain all the data behind a form by multiple submissions of the form filled out in all possible ways by using agent, but efficiency concerns lead us to consider alternatives. We can estimate the amount of remaining data after a small number of submissions maximize the coverage of the data. I.
File Format	PDF
Access Restriction	Open
Subject Keyword	Data Mining Deep Web Search Data Extraction World Wide Web Visited Page Useful Information Usage Log Web Site Web User Advanced Information Retrieval System Multiple Submission Efficiency Concern Small Number Appropriate Data Click Stream Data Huge Amount Web Server Diverse Website Possible Way Web Document Web Mining Technique Web Access Log Data Web Data Exigent Dilemma Web Usage Mining Mine Knowledge Web Mining Deep Web Page Click Stream Web Page
Content Type	Text
Resource Type	Article

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