Data Mining in Agriculture (Springer Optimization and Its by Panos M. Pardalos, Antonio Mucherino, Petraq J. Papajorgji

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

Data Mining in Agriculture represents a entire attempt to supply graduate scholars and researchers with an analytical textual content on information mining recommendations utilized to agriculture and environmental similar fields. This e-book offers either theoretical and useful insights with a spotlight on proposing the context of every information mining approach really intuitively with abundant concrete examples represented graphically and with algorithms written in MATLAB®.

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Users having the same address can also behave in similar ways. Moreover, when the application for a new phone line is filled, the new user is asked to provide an existing phone number as reference. The new and the existing phone lines have high probabilities to be classified in the same way. By using this information, a particular kind of fraudulent behavior can be detected. 3 General applications of data mining 13 old line during the application. This could be repeated in a sort of chain, if the line provided in the application is not verified.

Chapter 2 presents simple and common statistical methods which can be used as a data mining technique itself or combined with more complex techniques. The statistical based methods presented are principal component analysis, interpolation and regression. Chapters 3 to 7 present widely used data mining techniques. Chapter 3 is devoted to the k-means methods and to many of its variants. Chapter 4 focuses on the k-nearest neighbor approach. In this chapter, many strategies for reducing the training sets used in the k-nearest neighbor approach are presented.

Such problem is considered challenging because the number of clusters and the similarity criterion are usually not known a priori. Recently, in [10], the food market in the United States has been analyzed by using this approach. The food market in United States is one of the largest in the world, since it is a major exporter and significant consumer of food products. For instance, the agricultural exports in the US were about $68 billion for the year 2006. The food sector in the US includes retailers, wholesalers and all food services that link the farmers to the consumers.

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