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

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Holmes, Dawn E. (Επιμελητής έκδοσης), Jain, Lakhmi C. (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Σειρά: Intelligent Systems Reference Library, 24
• Θέματα: Engineering.; Health informatics.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Health Informatics.

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. Statisti...

Πίνακας περιεχομένων:

• 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.