With the memorable start and massive adoption of cloud concepts, infrastructures and platforms, there is a paradigm shift in the IT landscape. That is, IT solutions and services are being developed, debugged, deployed...
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In the area of Web Usage Mining, the widely used data mining algorithm is the Clustering analysis. Hence we analyzed the most recent work in the field of Web Logs Clustering and made comparison based on their merits a...
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Image compression techniques help in effcient storage and transmission of images. In this paper we propose a lossy compression technique for two dimensional images. The proposed technique uses bandlet transform to cap...
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Image compression techniques help in effcient storage and transmission of images. In this paper we propose a lossy compression technique for two dimensional images. The proposed technique uses bandlet transform to capture the anisotropic regularity of edge structures apart from capturing regularity information from smooth regions. Then type II fuzzy thresholding is performed to retain the important bandlet coeffcients. The proposed method is applied to 2D images and the results are compared with bandlet based ordinary thresholding. Test results show that the proposed method gives better results in terms of PSNR and bits-per-pixel.
In recent years, clinical decision support systems (CDSSs) play a vital role in the field of medical informatics. CDSSs help the medical practitioners in facing challenging medical problems, such as diagnosis and ther...
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We have considered the problem of incorporating security mechanisms in routing protocols for ad hoc networks. There have been various secure routing protocols proposed for the mobile ad hoc network. Secured Ad hoc On ...
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The design inaccuracy (fault) in predictors can cause huge power loss in processor posing serious threat to the designers. The objective of the current analysis of fault impact on the processor power consumption is to...
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In very short time today web has become an enormously important tool for communicating ideas, conducting business and entertainment. At the time of navigation, web users leave various records of their action. This vas...
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In very short time today web has become an enormously important tool for communicating ideas, conducting business and entertainment. At the time of navigation, web users leave various records of their action. This vast amount of data can be a useful source of knowledge for predicting user behavior. A refined method is required to carry out this task. Web usages mining (WUM) is the tool designed to do this task. WUM system is used to extract the knowledge based on user behavior during the web navigation. The extracted knowledge can be used for predicting the users’ future request when user is browsing the web. In this paper we advanced the online recommender system by using a Longest Common Subsequence (LCS) classification algorithm to classify users’ navigation pattern. Classification using the proposed method can improve the accuracy of recommendation and also proposed an algorithm that uses LCS method to know the user behavior for improvement of design of a website.
In this paper, we outline observations made during projects in the field of innovative e-commerce information systems. Our first group of observations concentrates on the exploration of an innovative e-commerce idea. ...
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Social communication websites has been an emerging type of a Web service that helps users to share their resources. For providing efficient similarity search of tag set in a social tagging system, we propose a multi-l...
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