User Profile Tracking by Web Usage Mining in Cloud Computing
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| Title: | User Profile Tracking by Web Usage Mining in Cloud Computing |
|---|---|
| Authors: | John, Joan M., Mini, G. Venifa, Arun, E. |
| Source: | Procedia Engineering. Sep2012, Vol. 38, p3270-3277. 8p. |
| Subjects: | Web analytics, Cloud computing, Information sharing, Internet content, Scalability, Databases, Distributed computing, Algorithms |
| Abstract: | Abstract: Service oriented domain like cloud computing, composite service selection is hard to accomplish in an effective manner. The high scalability of distributed systems, and large transaction of data bases, it is a vital important to categorizes the efficient methods for distributed mining. Researcher on web has given a great attention to web usage mining which is an evolution of internet to evaluate user profiles and knowledge sharing of web content. This paper discloses the efficient relationship between the local and global transaction data items. It extracts valuable information from the large amount of data available in the user web sessions. To segment the data, the distance between the two user sessions is measured with the help of similarity distance measures. Aim of this paper is to introduce a technique called registry federation mechanism to meet the associated business requirements and it also describes a distributed algorithm for sequential mining within registry federation. [Copyright &y& Elsevier] |
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| Database: | Engineering Source |
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