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＜電子ブック＞
Data Mining with SPSS Modeler : Theory, Exercises and Solutions / by Tilo Wendler, Sören Gröttrup

版	1st ed. 2016.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2016
大きさ	XII, 1059 p. 1378 illus., 1277 illus. in color : online resource
著者標目	*Wendler, Tilo author Gröttrup, Sören author SpringerLink (Online service)
件　名	LCSH:Statistics  LCSH:Mathematical statistics—Data processing LCSH:Data mining LCSH:Computer software FREE:Statistical Theory and Methods FREE:Statistics and Computing FREE:Data Mining and Knowledge Discovery FREE:Mathematical Software
一般注記	Preface -- Introduction -- Basic Functions of the SPSS Modeler -- Univariate Statistics -- Multivariate Statistics -- Regression Models -- Factor Analysis -- Cluster Analysis -- Classification Models -- Using R with the Modeler -- Data Sets Used in This Book Introducing the IBM SPSS Modeler, this book guides readers through data mining processes and presents relevant statistical methods. There is a special focus on step-by-step tutorials and well-documented examples that help demystify complex mathematical algorithms and computer programs. The variety of exercises and solutions as well as an accompanying website with data sets and SPSS Modeler streams are particularly valuable. While intended for students, the simplicity of the Modeler makes the book useful for anyone wishing to learn about basic and more advanced data mining, and put this knowledge into practice HTTP:URL=https://doi.org/10.1007/978-3-319-28709-6

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