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?
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References
O’Brien TF & Stelling JM. WHONET: an information system for monitoring antimicrobial resistance. Emerging Infectious Diseases 1995; l:66.
M. Halkidi, M. Vazirgiannis. “Clustering validity assessment using multi representatives”. Poster paper in the Proceedings of SETN Conference, April 2002, Thessaloniki, Greece.
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.
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© 2003 Springer-Verlag London
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Vazirgiannis, M., Halkidi, M., Gunopulos, D. (2003). Case Studies. In: Uncertainty Handling and Quality Assessment in Data Mining. Advanced Information and Knowledge Processing. Springer, London. https://doi.org/10.1007/978-1-4471-0031-7_6
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DOI: https://doi.org/10.1007/978-1-4471-0031-7_6
Publisher Name: Springer, London
Print ISBN: 978-1-4471-1119-1
Online ISBN: 978-1-4471-0031-7
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