Autorenfreundlich Bücher kaufen?!
Beschreibung
Data Mining in Agriculture represents a comprehensive effort to provide graduate students and researchers with an analytical text on data mining techniques applied to agriculture and environmental related fields. This book presents both theoretical and practical insights with a focus on presenting the context of each data mining technique rather intuitively with ample concrete examples represented graphically and with algorithms written in Matlab®. Examples and exercises with solutions are provided at the end of each chapter to facilitate the comprehension of the material. For each data mining technique described in the book variants and improvements of the basic algorithm are also given.
Details
| Verlag | Springer US |
| Ersterscheinung | 25. Februar 2012 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 446 Gramm |
| Format | Softcover |
| ISBN-13 | 9781461429357 |
| Seiten | 274 |
Schlagwörter
Agrarwissenschaften, Agriculture, Angewandte Mathematik, Data Mining, Data Mining and Knowledge Discovery, Mathematical Applications in Environmental Science, Mathematical Modeling and Industrial Mathematics, Mathematik für Ingenieure, Mathematische Modellierung, Operations Research - Management Science, Umwelt, Unternehmensforschung, Wissensbasierte Systeme - Expertensysteme
Herstellerinformationen
Bekannt durch
