Data Mining: Foundations and Intelligent Paradigms
VOLUME 2: Statistical, Bayesian, Time Series and other Theoretical Aspects
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Beschreibung
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.
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 The state of the art of data mining for health informatics is presented in a handbook style Written by leading experts in this field
Autor*in
Dawn E. Holmes
Themen in »Data Mining: Foundations and Intelligent Paradigms«
Computational Intelligence Data Mining Health Informatics Intelligent Systems