Massive Data Mining Using Bayesian Approach

Provided by: World Academic Industry Research Collaboration Organization (WAIRCO)
Topic: Data Management
Format: PDF
The advancement of the technology has led the large flow of data in the digital form. In data mining this data is typically processed as large but static dataset. Datasets which continuously and rapidly grow over time are referred to as data streams. They are referred as dynamic data streams. Few examples are network monitoring data, sensor data, click streams in search engines, etc. But in every case, the traditional data mining approach does not address the problem of a dynamic data streams. Data streams can be mined only using sophisticated techniques.

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