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Data Mining

  • Living reference work entry
  • First Online:
Encyclopedia of Optimization

  • 13 Accesses

Introduction

Data mining has proven valuable in almost every aspect of life involving large data sets. Data mining is made possible by the generation of masses of data from computer information systems. In engineering, satellites stream masses of data down to storage systems, yielding a mountain of data that needs some sort of data mining to enable humans to gain knowledge. Data mining has been applied in engineering applications such as quality [25], manufacturing and service [13], and many others. Medicine has been an extensive user of data mining, both in the technical area [28], health management [18, 29], and in health policy [22]. Governmental operations have received support from data mining [5].

In business, data mining has been instrumental in customer relationship management [2, 6, 27], marketing [7], banking [24], insurance [30], and many other areas of business involving services. Guerard et al. [9] provided updated means to analyze financial analysis of stocks. Taha and...

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Author information

Authors and Affiliations

  1. Department of Supply Chain Management and Analytics, University of Nebraska, Lincoln, NE, USA

    David L. Olson

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  1. David L. Olson
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Correspondence to David L. Olson .

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Editors and Affiliations

  1. Department of Industrial & Systems Engin, University of Florida, Gainesville, FL, USA

    Panos M. Pardalos

  2. Departmentl of Industrial Engineering, University of Pittsburgh, Pittsburgh, PA, USA

    Oleg A. Prokopyev

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Olson, D.L. (2024). Data Mining. In: Pardalos, P.M., Prokopyev, O.A. (eds) Encyclopedia of Optimization. Springer, Cham. https://doi.org/10.1007/978-3-030-54621-2_108-1

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  • DOI: https://doi.org/10.1007/978-3-030-54621-2_108-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-54621-2

  • Online ISBN: 978-3-030-54621-2

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