Data Mining: Foundations and Intelligent Paradigms
VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
Paperback
Lieferzeit: Print on Demand - Lieferbar innerhalb von 3-5 Werktagen I
ISBN-13:
9783642434297
Veröffentl:
2014
Einband:
Paperback
Erscheinungsdatum:
26.01.2014
Seiten:
264
Autor:
Lakhmi C Jain
Gewicht:
406 g
Format:
235x155x15 mm
Serie:
24, Intelligent Systems Reference Library
Sprache:
Englisch
Beschreibung:
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 and Bayesian 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
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.
Data mining is a rapidly growing research area in computer science and statistics. Volume 2 of this three-volume series covers theoretical aspects of the subject, including statistical, Bayesian, time-series and others relevant to health informatics.