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Introduction to Data Mining

In: Data Mining in Agriculture

Author

Listed:
  • Antonio Mucherino

    (University of Florida)

  • Petraq J. Papajorgji

    (University of Florida)

  • Panos M. Pardalos

    (University of Florida)

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.

Suggested Citation

  • Antonio Mucherino & Petraq J. Papajorgji & Panos M. Pardalos, 2009. "Introduction to Data Mining," Springer Optimization and Its Applications, in: Data Mining in Agriculture, chapter 0, pages 1-21, Springer.
    • Handle: RePEc:spr:spochp:978-0-387-88615-2_1
    DOI: 10.1007/978-0-387-88615-2_1
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    Cited by:

    1. Xiaoqiang Liu & Ji Li & Lei Shao & Hongli Liu & Lei Ren & Lihua Zhu, 2023. "Transformer Fault Early Warning Analysis Based on Hierarchical Clustering Combined with Decision Trees," Energies, MDPI, vol. 16(3), pages 1-14, January.

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