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Each major topic is organized into two chapters, beginning with basic concepts that provide necessary background for understanding each data mining technique, followed by more advanced concepts and algorithms. This book provides a comprehensive coverage of important data mining techniques. Numerous examples are provided to lucidly illustrate the key concepts.
In my opinion this is currently the best data mining text book on the market. I like the comprehensive coverage which spans all major data mining techniques including classification, clustering, and pattern mining association rules. Pearson offers affordable and accessible purchase options to meet the needs of your students.
Connect with us to learn more. We're sorry! We don't recognize your username or password. Please try again. The work is protected by local and international copyright laws and is provided solely for the use of instructors in teaching their courses and assessing student learning. Discuss whether or not each of the following activities is a data mining task. Aug 8, - Data mining does not replace other areas of data analysis, but rather Overview Specifically, this book provides a comprehensive introduction to Data Mining.
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