| 多粒度时间序列中模糊规则的提取 |
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| 引用本文： | 张竹润,谢康林,张忠能. 多粒度时间序列中模糊规则的提取[J]. 上海交通大学学报, 2001, 35(9): 1366-1369 |
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| 作者姓名： | 张竹润 谢康林 张忠能 |
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| 作者单位： | 上海交通大学计算机科学与工程系, |
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| 摘 要： | 介绍了一种从多粒度时间序列中提取模糊规则的数据挖掘方法，该方法在时间序列中引入多重时间粒度，以模糊规则的形式给出数据挖掘的结果，建立多粒度时间序列的数学模型，并对提取模糊规则中所涉及的一些基本概念作出定义，在此基础上，给出数据挖掘的具体算法，通过实验证明了该挖掘算法的有效性。
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| 关 键 词： | 数据挖掘 模糊规则 多粒度时间序列 隶属函数模糊子集 数据库 多重时间粒度 |
| 文章编号： | 1006-2467(2001)09-1366-04 |
| 修稿时间： | 2000-08-25 |
Discovering Fuzzy Rules in Multiple Granularity Time Series |
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| ZHANG Zhu run,XIE Kang lin,ZHANG Zhong neng. Discovering Fuzzy Rules in Multiple Granularity Time Series[J]. Journal of Shanghai Jiaotong University, 2001, 35(9): 1366-1369 |
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| Authors: | ZHANG Zhu run XIE Kang lin ZHANG Zhong neng |
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| Abstract: | A data mining method, which discovers fuzzy rules in multiple granularity time series, was proposed. This method introduces a multiple granularity into time series and provides the outcome of data mining in the form of fuzzy rules. After the mathematical model of multiple granularity time series is established, some notations related to the rule discovering are defined. The mining algorithm is presented in details. The results of some experiments are also provided to indicate the validity of the mining algorithm. |
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| Keywords: | data mining fuzzy rule time series |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
