Pattern Classification based on Web Usage Mining using Neural Network Technique

Romil V. Patel, Dheeraj Kumar Singh · International Journal of Computer Applications · 2013

The traffic on World Wide Web is increasing rapidly and huge amount of data is generated due to users’ numerous interactions with web sites. Web Usage Mining is the application of data mining techniques to discover the useful and interesting patterns from web usage data. We apply new approach for classify User pattern using Modified naive Bayesian classification with supervise learning technique for real time and more complex data. This can be used in marketing for adverting purpose, Ecommerce & government agency for more make page dynamic based on user pattern classification. We purpose classification real time data on time & accuracy base.

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