Utility Pattern Approach for Mining High Utility Log Items from Web Log Data

Mining frequent log items is an active area in data mining that aims at searching interesting relationships between items in databases. It can be used to address a wide variety of problems such as discovering association rules, sequential patterns, correlations and much more. Weblog that analyzes a web site's access log and reports the number of visitors, views, hits, most frequently visited pages, and so forth. Mining frequent log items from web log data can help to optimize the structure of a web site and improve the performance of web servers. Existing methods often generate a huge set of potential high utility log items and their mining performance is degraded consequently.

Provided by: International Journal of Computer Science & Engineering Technology (IJCSET) Topic: Data Management Date Added: Jan 2013 Format: PDF

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