| 大型时态数据库中的Burst模式挖掘 |
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| 引用本文： | 曾德胜,张师超,王日凤,谢冲.大型时态数据库中的Burst模式挖掘[J].计算机应用,2006,26(10):2413-2416. |
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| 作者姓名： | 曾德胜 张师超 王日凤 谢冲 |
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| 作者单位： | 广东罗定职业技术学院,电子工程系,广东,罗定,527200;广西师范大学,计算机系,广西,桂林,541004;悉尼科技大学,信息技术学院,澳大利亚;广西师范大学,计算机系,广西,桂林,541004 |
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| 基金项目： | 国家自然科学基金;澳大利亚ARC基金 |
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| 摘 要： | 首先分析了挖掘整个大型时态数据库时可能存在的两个问题，提出了解决的一种新方法。该方法采用“先分后合”的思想：先将大型数据库划分成多个小型数据集，接着对这些数据集进行四次裁剪后再进行综合评价，最后挖掘出潜在的Burst 模式。实验结果表明，该方法准确有效。挖掘出的Burst模式给公司决策者在制定决策的时候提供参考帮助和支持。
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| 关 键 词： | 数据挖掘 Burst模式 时态数据库 |
| 文章编号： | 1001-9081（2006）10-2413-04 |
| 收稿时间： | 2006-04-26 |
| 修稿时间： | 2006-04-262006-06-23 |
Mining Burst patterns in large temporal database |
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| ZENG De-sheng,ZHANG Shi-chao,WANG Ri-feng,XIE Chong.Mining Burst patterns in large temporal database[J].journal of Computer Applications,2006,26(10):2413-2416. |
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| Authors: | ZENG De-sheng ZHANG Shi-chao WANG Ri-feng XIE Chong |
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| Affiliation: | 1Department of Electronic Information, College of Luoding Vacational Technology, Luoding Guangdong 527200, China; 2. Department of Computer Science, Guangxi Normal University, Guilin Guangxi 541004, China; 3. Faculty of Information Technology, University of Technology Sydney, Australia |
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| Abstract: | How to effectively discover potentially useful knowledge from large databases is an important yet challenging issue. The paper firstly pointed out there would be two problems in mining very large temporal databases with experimental results, and then proposed a new method to solve the two problems. This approach first partitioned a database into several small datasets. And then the Burst patterns were dug up after four times pruning on the data. The experimental results show that the proposed method is accurate and efficient, and the Burst patterns are useful for decision-making in business. |
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| Keywords: | data mining Burst pattern temporal database |
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