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We strongly encourage at least one author of every paper to register by the early-bird deadline so that session chairs can make plans for its presentation.
Web mining is one of the data mining domains where data mining techniques are used for extracting information from the web servers.
Phil Research Scholar, Computer science and Engineering, Bharathiar University, Coimbatore, Tamilnadu, India [email protected]@Abstract- Web is a collection of inter-related files on one or more web servers while web mining means extracting valuable information from web databases.
The main conference program of WWW 2015 will have 11 areas (or themes) for refereed paper presentations, and we invite you to submit your cutting-edge, exciting, new breakthrough work to the relevant area.
In addition to the main conference, WWW 2015 will also have a series of co-located workshops, keynote speeches, tutorials, panels, a developer track, and poster and demo sessions.
The list of areas for this year is as follows: It is the authors’ responsibility to ensure that their submissions adhere strictly to the required format. Papers that have been published elsewhere, are currently under review, or will be submitted to other meetings or publications while under WWW2015 review should not be submitted to WWW2015.
Web Mining Paper Research
Submissions that do not comply with the above guidelines may be rejected without review. The review process is single-blind peer review (reviewers are anonymous, but authors are not).Web mining – the application of data mining techniques is used to extract knowledge from web documents.Web has become the root for emerging online business or shopping websites.A small set of a handful of instance relations are required as input from the user.The system exploits summaries from Google search engine as a source text. The output is a set of new entities and their relations. Suganya2 1Assistant Professor, School of Computer Science and Engineering, Bharathiar University, Coimbatore, Tamilnadu, India 2 M.Web mining is used to understand the customer behaviour, evaluate a particular website based on the information which is stored in web log files.We especially encourage submissions that propose novel and principled techniques or algorithms that can leverage the special characteristics of the Web, its social media, and user behaviors for such extraction and mining.In addition to new techniques and algorithms, we also seek insights gained from the mining process.The website enables the online users to analyze the product specifications and compare prices of the specific product available on other e-shopping sites.These web content of products on e-shopping sites is assembled using the technique called web scraping along with web crawlers.