Overview
- First textbook in data mining in agriculture
- Presentation suitable for students, researchers, and professionals, in the classroom or as a self-study
- Explores examples in agriculture/environmental fields
- Provides Matlab codes to illustrate examples
- Includes numerous exercises and some solutions
Part of the book series: Springer Optimization and Its Applications (SOIA, volume 34)
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Table of contents (10 chapters)
Keywords
About this book
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.
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)
Authors and Affiliations
Bibliographic Information
Book Title: Data Mining in Agriculture
Authors: Antonio Mucherino, Petraq J. Papajorgji, Panos M. Pardalos
Series Title: Springer Optimization and Its Applications
DOI: https://doi.org/10.1007/978-0-387-88615-2
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2009
Hardcover ISBN: 978-0-387-88614-5Published: 19 August 2009
Softcover ISBN: 978-1-4614-2935-7Published: 25 February 2012
eBook ISBN: 978-0-387-88615-2Published: 22 September 2009
Series ISSN: 1931-6828
Series E-ISSN: 1931-6836
Edition Number: 1
Number of Pages: XVIII, 274
Number of Illustrations: 92 b/w illustrations
Topics: Mathematical Modeling and Industrial Mathematics, Agriculture, Data Mining and Knowledge Discovery, Operations Research, Management Science, Math. Appl. in Environmental Science