Enhanced cBoids Algorithm for Web Logs Clustering

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Provided by: International Journal of Engineering Trends and Technology
Topic: Data Management
Format: PDF
The development of web based applications generates data in enormous amount. To manage and extract information from such voluminous data is very difficult. Grouping the data based on certain parameters gives the solution to maintain the data in easier and constructive manner. In data mining perspective such grouping is called as clustering. Web data clustering is the method of grouping the web information into clusters in order to organize the web based documents and facilitate the data availability, accessing and satisfy user preferences, understanding navigation behavior of the users, improving information retrieval and content delivery.
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