Abstract
Web mining is a necessary and important process of data mining that automatically discovers the vital information from Web documents and Web services. Web mining is the method of retrieving the beneficial information from activities held over the World Wide Web. It can be classified into three different forms such as Web usage mining, Web content mining and Web structure mining. Websites are essential tools for the Web users to obtain necessary information such as education, entertainment, health and e-commerce from the Web. The purpose of this paper is to present a genetic algorithm to evaluate the similarity of two or more Web pages of the Websites. Besides it, the complexity of Website design will be computed by reorganizing the Web pages of the Website. The obtained results would definitely be increasing the effectiveness of the Websites.
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Chaudhary, J., Sharma, A.K., Jain, S.C. (2017). Evaluating Similarity of Websites Using Genetic Algorithm for Web Design Reorganisation. In: Patnaik, S., Popentiu-Vladicescu, F. (eds) Recent Developments in Intelligent Computing, Communication and Devices. Advances in Intelligent Systems and Computing, vol 555. Springer, Singapore. https://doi.org/10.1007/978-981-10-3779-5_9
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DOI: https://doi.org/10.1007/978-981-10-3779-5_9
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