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Introduction to Data Mining
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ISBN
:
9788131714720
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Publisher
:
Pearson
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Subject
:
Computer Science, Information Technology: General Issues, Encyclopaedias & Reference Works
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Binding
:
Paperback
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Pages
:
792
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Year
:
2007
₹
599.0
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467.0
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Description
Introduction To Data Mining, published in 2007 by Pearson, is an introduction to the basic concepts and techniques of data mining. The comprehensive book by Pang-ning Tan, Michael Steinbach, and Vipin Kumar is meant for readers with basic knowledge of mathematics and statistics and is filled with relevant figures and examples to explain the data mining concepts. The key topics covered in this book include data, exploring data, alternative techniques for classification, basic and advanced topics of association analysis and cluster analysis, predictive modelling, visualization, and anomaly detection. All the chapters in the book have been organized in such a way that the basic concepts and algorithms are covered first, and gradually, the students can move toward advanced data mining techniques. The topics are covered in detail with appropriate examples. Pang-ning Tan teaches computer science at Michigan State University. He is an expert in topics such as association and cluster analysis, predictive modelling, and data mining. Michael Steinbach and Vipin Kumar are authors and experts in mathematics and computer science. They have co-authored books such as Computational Approaches to Protein Function Prediction: Automated Techniques and Finding Topics in Collections of Documents: A Shared Nearest Neighbor Approach.
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