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databases are termed as Web Databases (WDB). Web databases have been frequently employed to search the products online for retail industry. They can be private to a retailer/concern or publicly used by a number of retailers. Whenever the user queries these databases using keywords, most of the times the user will be deviated
Full-Text Retrieval. This system could find and locate the keywords which users interested in scientifically and efficiently. Besides the function of full-text retrieval, this system also contains ID Authentication, this ensures the safety of the share resources. In the end, we prove that our system is more efficient than
blogs, translates into English, categorizes the blog based on the content by keywords and provides code for posting relevant ads in blog. The system is tested on 100 regional language blogs in various categories and found to be effective.
unofficial mobile markets located across the world. Using a set of search keywords that point to titles of paid streaming content, we discovered 8,592 Android, 5,550 iOS, and 3,910 Windows mobile applications that matched our search criteria. Out of those applications, hundreds had links to either locally or remotely stored
at the previous environments. This paper describes one of such an environmental change and how to recover performance of relevant tools from "before" to "after". One of keywords is Java programming language. And we have designed and implemented our tool with Java programming language not only as Applet but also as Stand
the tokens or between the checksums indicates a same origin violation. To reduce the scheme's performance ovrhead, this matching is performed only when a request originated from a page with no submission form has suspicious keywords. We analyze the protection potential, security, and performance overhead of our scheme.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.