| 数据流频繁模式挖掘技术研究 |
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| 引用本文： | 曹文梁,董崇杰.数据流频繁模式挖掘技术研究[J].适用技术之窗,2010(8):51-53. |
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| 作者姓名： | 曹文梁 董崇杰 |
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| 作者单位： | 东莞职业技术学院计算机工程系,广东东莞523808 |
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| 摘 要： | 数据流挖掘是目前新一代数据挖掘研究中的热点,而数据流频繁模式是影响数据流挖掘算法效率的决定性因素。虽然目前有许多工作针对数据流频繁模式挖掘算法进行了研究,但是仍然存在许多不足。本文详细讨论了数据流频繁模式挖掘的四种主流算法,最后提出了未来的研究方向。
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| 关 键 词： | 数据挖掘 数据流 频繁模式 Top-k |
Research of Data Stream Frequent Pattern Mining |
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| Cao Wenliang Dong Chongjie.Research of Data Stream Frequent Pattern Mining[J].Science & Technology Plaza,2010(8):51-53. |
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| Authors: | Cao Wenliang Dong Chongjie |
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| Affiliation: | Cao Wenliang Dong Chongjie(Department of Computer Engineering,Dongguan Polytechnic, Guangdong Dongguan 523808) |
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| Abstract: | Data stream mining is a hot spot in data mining, and frequent patterns in the data stream is the decisive factor in the efficiency of mining algorithms. Although there are a lot of work of the data stream algorithm for mining frequent patterns have been studied, there are still many deficiencies. This paper discusses four major algorithms of the data stream frequent patterns mining, finally proposes the future research directions. |
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| Keywords: | Data Mining Data Stream Frequent Pattern Top-k |
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