Michael R. Berthold (ed.); Hans-Joachim Lenz (ed.); Elizabeth Bradley (ed.); Rudolf Kruse (ed.); Christian Borgelt (ed.) Springer (2003) Pehmeäkantinen kirja
Michael R. Berthold; Robert Glen; Kay Diederichs; Oliver Kohlbacher; Ingrid B. Fischer Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2005) Pehmeäkantinen kirja
Rudolf Kruse; Michael R. Berthold; Christian Moewes; María Ángeles Gil; Przemysław Grzegorzewski; Olgierd Hryniewicz Springer-Verlag Berlin and Heidelberg GmbH & Co. KG (2012) Pehmeäkantinen kirja
This monograph is a detailed introductory presentation of the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues, ranging from the basic concepts of probability, through general notions of inference, to advanced multivariate and time series methods, as well as a detailed discussion of the increasingly important Bayesian approaches and Support Vector Machines. The following chapters then concentrate on the area of machine learning and artificial intelligence and provide introductions into the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on Visualization and a higher-level overview of the IDA processes, which illustrates the breadth of application of the presented ideas.