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Graph Based Web Recommendation System to Improve Time Efficiency


Marketed By :  LAP LAMBERT Academic Publishing   Sold By :  Kamal Books International  
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Rs. 2,675

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  • Product Description

In modern era people get more and more dependent on internet for every type of information. To extract user’s interested access pattern of web click stream data, Web Usage Mining is an application of this type of techniques. Record of different web user’s web using pattern are get stored in web log repository, which are great source of knowledge about user’s navigation. With increasing the use of internet, number of web sites and web pages are increasing rapidly so web usage mining become problematic for many application such as design, personalization, analysis of traffic, usability-studies, etc. But analyze and discovering user’s interesting patterns are necessary for web administrator and recommendation system. In this, mining techniques are applied to web data for finding user’s interesting patterns. That means in which patterns user want to access web pages and web-sites. This work is focus on graph based web usage mining. Normally this technique consume more time if data is available in huge amount. Hence an approach has been made to reduce the time complexity in efficient manner. We make the use of new graph based approach for mine user behaviour.

Product Specifications
SKU :COC59437
AuthorAnkur Shah and Hemraj Varachhia
Number of Pages60
Publishing Year23.12.2014
Edition1 st
Book TypeComputer networking & communications
Country of ManufactureIndia
Product BrandLAP LAMBERT Academic Publishing
Product Packaging InfoBox
In The Box1 Piece
Product First Available On ClickOnCare.com2015-08-05 00:00:00