TY  - BOOK
AU  - Holmes,Dawn E.
AU  - Jain,Lakhmi C.
ED  - SpringerLink (Online service)
TI  - Data Mining: Foundations and Intelligent Paradigms: Volume 2: Statistical, Bayesian, Time Series and other Theoretical Aspects 
T2  - Intelligent Systems Reference Library,
SN  - 9783642232411
AV  - Q342 
U1  - 006.3 23
PY  - 2012///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg
KW  - Engineering
KW  - Medical records
KW  - Data processing
KW  - Artificial intelligence
KW  - Computational Intelligence
KW  - Artificial Intelligence (incl. Robotics)
KW  - Health Informatics
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-23241-1
ER  -