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Data Mining in Agriculture

Overview of attention for book
Cover of 'Data Mining in Agriculture'

Table of Contents

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    Book Overview
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    Chapter 1 Introduction to Data Mining
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    Chapter 2 Statistical Based Approaches
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    Chapter 3 Clustering by k-means
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    Chapter 4 k-Nearest Neighbor Classification
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    Chapter 5 Artificial Neural Networks
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    Chapter 6 Support Vector Machines
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    Chapter 7 Biclustering
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    Chapter 8 Validation
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    Chapter 9 Data Mining in a Parallel Environment
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    Chapter 10 Solutions to Exercises
Attention for Chapter 6: Support Vector Machines
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