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

Holmes, Dawn E. (EDT); Jain, Lakhmi C. (EDT)

ISBN 10: 3642434290 / ISBN 13: 9783642434297

Editore: Springer, 2014

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Dati bibliografici

• Titolo: Data Mining : Foundations and Intelligent Paradigms: Statistical, Bayesian, Time Series and Other Theoretical Aspects
• Editore: Springer
• Data di pubblicazione: 2014
• Lingua: Inglese
• ISBN 10: 3642434290
• ISBN 13: 9783642434297
• Rilegatura: Brossura
• Condizione: As New

Descrizione articolo

Riassunto

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.

Dalla quarta di copertina

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.