Data Mining-Concepts Models Methods and Algorithms by Mehmed Kantardzic

Data Mining-Concepts Models Methods and Algorithms by Mehmed Kantardzic

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We are surrounded by data, numerical and otherwise, which must be analysed and processed to convert it into information that informs, instructs, answers or otherwise aids understanding and decision making. Due to the ever-increasing complexity and size of today’s data sets a new term, data mining, was created to describe the indirect, automatic data analysis techniques that utilize more complex and sophisticated tools than those which analysts used in the past to do mere data analysis.

The Wiley Advantage

• Discusses data mining principles and describes representative state-of-the-art methods and algorithms originating from different disciplines such as statistics, data bases, pattern recognition, machine learning, neural networks, fuzzy logic, and evolutionary computation
• Detailed algorithms are given with necessary explanations, illustrative examples, and questions and exercises for practice at the end of each chapter

Data Mining methodologies have been evolving over time.  New edition includes following new techniques/methodologies

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