Case Studies

  • Michalis Vazirgiannis
  • Maria Halkidi
  • Dimitrios Gunopulos
Part of the Advanced Information and Knowledge Processing book series (AI&KP)

Abstract

In previous various methods and techniques for analyzing huge amounts of data and exploiting the hidden information they include have been discussed. Nevertheless, the reader may still have some questions such as: “What are are these specific examples of using data mining in science and business? And what is the significance of all these techniques in real life applications?

Keywords

Catheter PhenOl Pseudomonas Streptomycin Gentamicin 

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References

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    O’Brien TF & Stelling JM. WHONET: an information system for monitoring antimicrobial resistance. Emerging Infectious Diseases 1995; l:66.CrossRefGoogle Scholar
  2. [HV02]
    M. Halkidi, M. Vazirgiannis. “Clustering validity assessment using multi representatives”. Poster paper in the Proceedings of SETN Conference, April 2002, Thessaloniki, Greece.Google Scholar
  3. [VKL99]
    Vatopoulos AC, Kalapothaki V, Legakis NJ and the Greek Network for the Surveillance of Antimicrobial Resistance: An Electronic Network for the Surveillance of Antimicrobial Resistance in Bacterial Nosocomial Isolates in Greece. WHO Bulletin, 1999; 77:595–601.Google Scholar

Copyright information

© Springer-Verlag London 2003

Authors and Affiliations

  • Michalis Vazirgiannis
    • 1
  • Maria Halkidi
    • 1
  • Dimitrios Gunopulos
    • 2
  1. 1.Department of InformaticsAthens University of Economics and BusinessGreece
  2. 2.Department of Computer Science and EngineeringUniversity of CaliforniaRiversideUSA

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