Behavior discovery as database scheme design

T. Miura, I. Shioya, Kohei Watanabe
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引用次数: 1

Abstract

In this investigation, we propose an inductive classification method for a collection of temporal information which mean behavior. We assume a Markov property and discuss ergodic analysis by which we can extract stationary parts of the behavior. We discuss a design methodology for database schemes based on the theory.
作为数据库方案设计的行为发现
在这项研究中,我们提出了一种对时间信息集合的归纳分类方法。我们假设一个马尔可夫性质,并讨论遍历分析,我们可以提取的平稳部分的行为。在此基础上讨论了数据库方案的设计方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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