Springer Optimization and Its Applications

Data Mining in Agriculture

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

  • 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
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Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-0-387-88615-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.99
price for USA
  • ISBN 978-0-387-88614-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $69.99
price for USA
  • ISBN 978-1-4614-2935-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

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.

Reviews

From the reviews:

“This book covers several topics in data mining within the context of agriculture. … Every problem at the end of each chapter is provided with solutions … . who are looking for a first step into the field of data mining in agriculture may appreciate this broad nature … . Students interested in a hands-on approach using MATLAB may also find the book useful due to the sample solutions provided.” (R. Wan, Journal of the Operational Research Society, Vol. 61, 2010)

“The book … presents in a comprehensive way most up-to-date data mining techniques and their application to problems from agriculture domain. … Researchers, practitioners and students will find the book very useful … . Researchers will find in the book not only a good reference and a compendium of most important techniques but also an ‘all in one place’ analysis of most important data mining techniques … . Teachers can use the book for data mining subjects in undergraduate and graduate studies … .”­­­ (Fatos Xhafa, Journal of Global Optimization, Vol. 48, 2010)


Table of contents (10 chapters)

  • Introduction to Data Mining

    Mucherino, Antonio (et al.)

    Pages 1-21

  • Statistical Based Approaches

    Mucherino, Antonio (et al.)

    Pages 23-45

  • Clustering by k-means

    Mucherino, Antonio (et al.)

    Pages 47-82

  • k-Nearest Neighbor Classification

    Mucherino, Antonio (et al.)

    Pages 83-106

  • Artificial Neural Networks

    Mucherino, Antonio (et al.)

    Pages 107-122

Buy this book

eBook $54.99
price for USA (gross)
  • ISBN 978-0-387-88615-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $69.99
price for USA
  • ISBN 978-0-387-88614-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $69.99
price for USA
  • ISBN 978-1-4614-2935-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Data Mining in Agriculture
Authors
Series Title
Springer Optimization and Its Applications
Series Volume
34
Copyright
2009
Publisher
Springer-Verlag New York
Copyright Holder
Springer-Verlag New York
eBook ISBN
978-0-387-88615-2
DOI
10.1007/978-0-387-88615-2
Hardcover ISBN
978-0-387-88614-5
Softcover ISBN
978-1-4614-2935-7
Series ISSN
1931-6828
Edition Number
1
Number of Pages
XVIII, 274
Number of Illustrations and Tables
92 b/w illustrations
Topics