Data mining: foundations and intelligent paradigms v. 2 Statistical, bayesian, time series and other theoretical aspects

There are many invaluable books available on data mining theory and applications. However, in compiling a volume titled “DATA MINING: Foundations and Intelligent Paradigms: Volume 2: Core Topics including Statistical, Time-Series andBayesian Analysis” we wish to introduce some of the latest developments to a broad audience of both specialists and non-specialists in this field. Contains the latest research on data mining research and its applications to health informatics. The state of the art of data mining for health informatics is presented in a handbook style. Written by leading experts in this field. INDICE: From the content: Data Mining with Multilayer Perceptrons and Support Vector Machines. Regulatory Networks under Ellipsoidal Uncertainty - Data Analysis and Prediction by Optimization Theory and Dynamical Systems. A VisualEnvironment for Designing and Running Data Mining Workflows in the Knowledge Grid. Formal framework for the Study of Algorithmic Properties of Objective Interestingness Measures. Nonnegative Matrix Factorization: Models, Algorithms and Applications. Visual Data Mining and Discovery with Binarized Vectors.

• ISBN: 978-3-642-23240-4
• Editorial: Springer Berlin Heidelberg
• Encuadernacion: Cartoné
• Páginas: 250
• Fecha Publicación: 07/11/2011
• Nº Volúmenes: 1
• Idioma: Inglés