Introduction to Data Mining - No Cost Library

Introduction to Data Mining - 2nd Edition

   Author(s):  Tan, Pang-Ning;Steinbach, Michael;Kumar, Vipin

        Publisher: Pearson, Year: 2013

                                        

 Description: 

If you are a student who is looking to learn the requisite math and computer science for the first time, then you might want to check out Introduction to Data Mining. The definitions are clarified thoroughly and there are many examples of this. KEY Subjects: Offers both theoretical and realistic knowledge of all data mining topics. This paper contains a vast number of descriptions and estimates. The areas discussed include statistical models, correlation analysis, clustering, anomaly identification, and graphic representations. The class is built for individuals who want to learn about data mining. This book assumes only a mild background in statistics or mathematics, and some database information is only required for the final exam.

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