Introduction to Data Mining

Antonio Mucherino (), Petraq J. Papajorgji () and Panos M. Pardalos ()
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Antonio Mucherino: University of Florida
Petraq J. Papajorgji: University of Florida
Panos M. Pardalos: University of Florida

Chapter Chapter 1 in Data Mining in Agriculture, 2009, pp 1-21 from Springer

Abstract: Abstract There is a growing amount of data available from many resources that can be used effectively in many areas of human activity. The Human Genome Project, for instance, provided researchers all over the world with a large set of data containing valuable information that needs to be discovered. The code that codifies life has been read, but it is not yet known how life works. It is desirable to know the relationships among the genes and how they interact. For instance, the genome of food such as tomato is studied with the aim of genetically improving its characteristics. Therefore, complex analyses need to be performed to discover the valuable information hidden in this ocean of data. Another important set of data is created byWeb pages and documents on the Internet. Discovering patterns in the chaotic interconnections of Web pages helps in finding useful relationships for Web searching purposes. In general, many sets of data from different sources are currently available to all scientists.

Keywords: Support Vector Machine; Data Mining; Simulated Annealing; Torsion Angle; Cluster Technique (search for similar items in EconPapers)
Date: 2009
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DOI: 10.1007/978-0-387-88615-2_1

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