Data Mining in Agriculture
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 t...
| Main Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer New York
2009, 2009
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| Edition: | 1st ed. 2009 |
| Series: | Springer Optimization and Its Applications
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- to Data Mining
- Statistical Based Approaches
- Clustering by -means
- -Nearest Neighbor Classification
- Artificial Neural Networks
- Support Vector Machines
- Biclustering
- Validation
- Data Mining in a Parallel Environment
- Solutions to Exercises