| 事件序列中频繁并行情节的增量式发现算法 |
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| 引用本文： | 郑诚,欧阳为民. 事件序列中频繁并行情节的增量式发现算法[J]. 安徽大学学报(自然科学版), 1999, 23(2): 50-56 |
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| 作者姓名： | 郑诚 欧阳为民 |
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| 作者单位： | 1. 安徽大学计算机系,合肥,230039
2. 安徽大学计算中心 |
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| 基金项目： | 国家自然科学基金;69675016; |
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| 摘 要： | 研究事件序列中频繁情节的发现问题，提出了在事件序列中发现频繁并行情节的增量式算法。如果在事件序列中发现了频繁情节及其出现频率，就可以生成描述或预测该序列行为的情节规则。
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| 关 键 词： | 数据发掘，事件序列，频繁情节 |
An Incremental Algorithm for Discovering Frequent Parallel Episodes in Event Sequences |
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| Zheng ChengOuYang Weimin. An Incremental Algorithm for Discovering Frequent Parallel Episodes in Event Sequences[J]. Journal of Anhui University(Natural Sciences), 1999, 23(2): 50-56 |
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| Authors: | Zheng ChengOuYang Weimin |
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| Abstract: | In this paper,we discuss the discovery of frequent episodes in event sequences,put forward an incremental algorithm for discovering frequent parallel episodes in event sequences. if we have found frequent episodes and their ocurrence frequency,we can generate episode rule to describe of predicate the behavior of the event sequences. |
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| Keywords: | data mining event sequences frequent episodes |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
