Abstract
In this presentation we will discuss potential of biomimetics: how engineers can transform ideas coming from better understanding of living organisms, generated mainly by life scientists, for designing better, smarter systems (or devices) for solving everyday problems.
In the first part of our talk we will define data mining, metadata mining, and knowledge discovery process. Next, we will talk about our data mining projects in the areas of biology and medicine. Then we will show how what we have learned from theses projects, namely, how information is processed and modified in living organisms inspired us to develop new learning mechanisms. In the second part of the talk we will describe how these learning mechanisms are used for solving clustering and medical image processing problems.
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© 2005 Springer-Verlag Berlin Heidelberg
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Cio, K. (2005). Biologically Inspired Methods in Data Mining. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_9
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DOI: https://doi.org/10.1007/3-540-32391-0_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25055-5
Online ISBN: 978-3-540-32391-4
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