Abstract
This paper proposes a new concept called historybase that helps one to mining data for deriving useful knowledge from a huge amount of data, in particular aiming at business applications. At first we shall point out that data accumulated in databases for daily routine operation is not usually enough for data mining, and that we need to record much more detailed data for the knowledge discovery. Distinguished feature of historybase is to record a stream of events that occur during the course of information processing regardless of the necessity for routine operation, hoping that they are helpful for future data mining. Historybase is already implemented in real business, and has been successfully utilized to improve the business quality
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© 1998 Springer-Verlag Berlin Heidelberg
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Hamuro, Y., Katoh, N., Yada, K. (1998). Data Mining Oriented System for Business Applications. In: Arikawa, S., Motoda, H. (eds) Discovey Science. DS 1998. Lecture Notes in Computer Science(), vol 1532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49292-5_61
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DOI: https://doi.org/10.1007/3-540-49292-5_61
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