Abstract-With the emergence of Web 2.0 applications that bestow rich user experience and convenience without time and geographical restrictions, web usage logs became a goldmine to researchers across the globe. User behavior analysis in different domains based on web logs has its utility for enterprises to have strategic decision making. Business growth of enterprises depends on customer-centric approaches that need to know the knowledge of customer behavior to succeed. The rationale behind this is that customers have alternatives and there is intense competition. Therefore business community needs business intelligence to have expert decisions besides focusing customer relationship management. Many researchers contributed towards this end. However, the need for a comprehensive framework that caters to the needs of businesses to ascertain real needs of web users. This paper presents a framework named eXtensible Web Usage Mining Framework (XWUMF) for discovering actionable knowledge from web log data. The framework employs a hybrid approach that exploits fuzzy clustering methods and methods for user behavior analysis. Moreover the framework is extensible as it can accommodate new algorithms for fuzzy clustering and user behavior analysis. We proposed an algorithm known as Sequential Web Usage Miner (SWUM) for efficient mining of web usage patterns from different datasets. We built a prototype application to validate our framework. Our empirical results revealed that the framework helps in discovering actionable knowledge.

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Now a day"s deblurring plays a crucial problem in many situations research due to the digital devices popularity such as digital camera, smart phone with camera etc. Aim of the image deblurring is making pictures sharp and useful. In previous methods do not find the perfect solution some disturbances are spectrally white occur in the image deblurring techniques. But In the proposed method compared to the non-blind deblur blind deblur gives the better results for synthetic and real life degradations with and without noise both in single and multiframe scenarios and also evaluate the whiteness in the image in terms of speed and restoration quality to compare the other deblurring techniques this paper yields better results .