An Enhanced Algorithm for Classification of Web Data for Web Usage Mining Using Supervised Neural Network Algorithms

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Provided by: International Association of Engineering and Management Education (IAEME)
Topic: Big Data
Format: PDF
The usage of data on the web is growing with a speed of light; huge amount of data is present on web. To extract useful information from such huge web data efficient data extraction or mining methods are required to achieve a variety of functionalities such a as web AD market change analysis, web profile analysis, user trend analysis, session tracking, cyber crime detection etc. The idea behind using the concepts of neural network learning algorithms to classify the large amount of web data for web usage mining are to provide accuracy and speed by the diverse characteristics of neural networks.
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