Data Mining: Foundations and Intelligent Paradigms: Volume 2: Statistical, Bayesian, Time Series and Other Theoretical Aspects

Book Overview

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 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.

• Format: Paperback
• Language: English
• ISBN: 3642434290
• ISBN13: 9783642434297
• Release Date: January 2014
• Publisher: Springer
• Length: 250 Pages
• Weight: 0.82 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"