Trend Analysis based on Access Pattern over Web Logs using Hadoop

Provided by: International Journal of Computer Applications
Topic: Data Management
Format: PDF
There is an invariable progress and extension of the World Wide Web which has resulted into the generation of log files having enormous magnitude of data. Log files incorporate traits of user behavior, therefore it is essential to analyze log data and acquire knowledge from it. Web mining techniques primarily focuses on deciphering and scrutinizing the navigational behavior of user form various aspects and ascertaining the hidden knowledge from these web logs. As log files over the web are outsized, storage becomes a constraint wherein effective techniques such as virtual database prove to be ineffectual for the same.

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