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Mathematics | Data Mining in Agriculture

Data Mining in Agriculture

Mucherino, Antonio, Papajorgji, Petraq J., Pardalos, Panos M.

2009, XVIII, 274p. 92 illus..

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  • The first textbook on data mining in agriculture
  • Suitable for students, researchers and professionals in the classroom or as a self-study
  • Explores examples in agricultural and environmental fields
  • Provides Matlab codes to illustrate examples
  • Includes numerous exercises and some solutions

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.

Also by P.J. Papajorgji and P.M. Pardalos: Advances in Modeling Agricultural Systems, 'Springer Optimization and its Applications' vol. 25, ©2009.

Content Level » Research

Keywords » Agricultural Planning - Agriculture Systems - Clustering - SOIA - algorithms - artificial networks - classification - data mining - data mining techniques - k-means methods - vector machines

Related subjects » Agriculture - Applications - Database Management & Information Retrieval - Mathematics

Table of contents 

Introduction to Data Mining.- 2 Statistical Methods.- 3 Clustering by k-means.- 4 k-nearest Neighbor Classification.- 5 Artificial Neural Networks.- 6 Support Vector Machines.- 7 Biclustering.- 8 Validation.- 9 An Application in C.- 10 Data Mining in a Parallel Environment.- 11 Solutions of the Exercises.- A. Matlab Environment.- B. C programming language.- C. Message Passing Interface (MPI).- .D. Eigenvalues and Eigenvectors.- References.

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