Abstract
This paper describes a classification criteria-structuring method for handling exception cases. Clustering technology is utilized to classify large amounts of data effectively. In current clustering technology, however, it is impossible for a system to classify all data completely, due to exceptions in the data. In an ubiquitous computing environment, exceptions arise due to changes in the environment. We propose an architecture in which the system changes classification criteria and rules using constructive induction.
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© 2005 Springer-Verlag Berlin Heidelberg
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Yamamoto, T., Taki, H., Matsuda, N., Miura, H., Hori, S., Abe, N. (2005). Constructive Induction-Based Clustering Method for Ubiquitous Computing Environments. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11554028_20
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DOI: https://doi.org/10.1007/11554028_20
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28897-8
Online ISBN: 978-3-540-31997-9
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