Constructive induction-based clustering method for ubiquitous computing environments

Authors:
Takeshi Yamamoto;Hirokazu Taki;Noriyuki Matsuda;Hirokazu Miura;Satoshi Hori;Noriyuki Abe
Affiliations:
Graduate school of Systems Engineering, Wakayama University;Graduate school of Systems Engineering, Wakayama University;Graduate school of Systems Engineering, Wakayama University;Graduate school of Systems Engineering, Wakayama University;Institute of Technologists;Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part IV
Year:
2005

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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.