Data Mining techniques are gradually becoming essential components
of corporate intelligence systems and progressively evolving into a
pervasive technology within activities that range from the
utilization of historical data to predicting the success of an
awareness campaign. In reality, data mining is becoming an
interdisciplinary field driven by various multi-dimensional
applications. Data Mining Applications for Empowering Knowledge
Societies presents an overview on the main issues of data mining,
including its classification, regression, clustering, and ethical
issues. This comprehensive book also provides readers with
knowledge enhancing processes as well as a wide spectrum of data
mining applications.
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