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Data Mining: Foundations and Intelligent Paradigms, 2012 Volume 2. Statistical, Bayesian, Time Series and other Theoretical Aspects Intelligent Systems Reference Library Series, Vol. 24

Langue : Anglais

Coordonnateurs : Holmes Dawn E., Jain Lakhmi C

Couverture de l’ouvrage Data Mining: Foundations and Intelligent Paradigms
The state of the art of data mining for health informatics is presented in a handbook style Written by leading experts in this field Data mining is one of the most rapidly growing research areas in computer science and statistics. In Volume 2 of this three volume series, we have brought together contributions from some of the most prestigious researchers in theoretical data mining. Each of the chapters is self contained. Statisticians and applied scientists/ engineers will find this volume valuable. Additionally, it provides a sourcebook for graduate students interested in the current direction of research in data mining.
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 Visual Environment 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.

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

Date de parution :

Ouvrage de 250 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

Prix indicatif 138,03 €

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