Web Log Data Analysis by Enhanced Fuzzy C Means Clustering

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Provided by: Cornell University
Topic: Big Data
Format: PDF
World Wide Web is a huge repository of information and there is a tremendous increase in the volume of information daily. The number of users is also increasing day by day. To reduce users browsing time lot of research is taken place. Web Usage Mining is a type of web mining in which mining techniques are applied in log data to extract the behavior of users. Clustering plays an important role in a broad range of applications like Web analysis, CRM, marketing, medical diagnostics, computational biology, and many others. Clustering is the grouping of similar instances or objects. The key factor for clustering is some sort of measure that can determine whether two objects are similar or dissimilar.
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