Ayahiko Niimi

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Various techniques have been proposed for rule discovery using classification learning. In general, the learning speed of a system using genetic programming (GP) [1] is slow. However, a learning system which can acquire higher-order knowledge by adjusting to the environment can be constructed, because the structure is treated at the same time. On the other(More)
Global society has experienced a flood of various types of data as well as a growing desire to discover and use this information effectively. Moreover, this data is changing in increasingly huge and complex ways. In particular, for data that is generated intermittently and at different intervals, attention has been focused on data streams that use(More)
In this paper, we propose the system that combines the sensor network with the mail delivery system to construct the system that observes an environmental change of the broiler-house. As a result of hearing of the producer, the environment system needs to able to be observed some broiler-houses, to inspect the summary data from the cellular phone, and to(More)
Tatsuya Minegishi, Ayahiko Niimi Graduate School of Systems Information Science, Future University Hakodate Faculty of Systems Information Science, Future University Hakodate (g2109043, niimi]@fun.ac.jp) Abstract Global society has experienced a flood of various types of data, as well as a growing desire to discover and use this information effectively.(More)