With the unstable development of the data accessible on the Internet, WWW has turned into the most capable stage to store, recover, and communicate data. The same number of individuals have taken to the Internet for data gathering, examining client conduct from web get to the logs can
be useful to make versatile framework, recommender framework, and clever online business applications. We get to log records are the documents that contain data about the connection amongst clients and the sites with the utilization of the Internet. It contains many points of interest as authentication
of users, Address related to IP, time of visit, accessing, data transferred, status setting of result, URL and so on. To analyze web log data for prediction of consumer behavior, various free and paid tools is available online. By studying and comparing various analyzer, a website owner can
select the best tool for prediction of consumer behavior. This paper gives a neat report between celebrated log analyzer instruments in light of their highlights and execution.
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Web Usage Mining
Document Type: Research Article
MM Institute of Computer Technology & Business Management, Maharishi Markandeshwar Deemed to be University, Mullana (Ambala) 133203, Haryana, India
Department of Computer Science, Sri Sri University, Bidyadharpur, Cuttack 754006, Odisha, India
September 1, 2019
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Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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