| OLAP数据挖掘模型的应用研究 |
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| 引用本文： | 莫礼平,樊晓平.OLAP数据挖掘模型的应用研究[J].电脑与信息技术,2005,13(6):37-40. |
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| 作者姓名： | 莫礼平 樊晓平 |
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| 作者单位： | 中南大学信息科学与工程学院,湖南,长沙,410083;吉首大学数学与计算机科学学院,湖南,吉首,416000;中南大学信息科学与工程学院,湖南,长沙,410083 |
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| 摘 要： | OLAP数据挖掘模型结合了微软分析服务可以访问的数据挖掘和联机分析处理两种决策机制，其创建可以借助挖掘模型向导或利用决策支持对象编程实现。采用微软决策树算法的OLAP数据挖掘模型可根据决策树、虚拟立方体和维来分析数据，并预测数据的某些特性，以帮助用户决策。
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| 关 键 词： | OLAP 数据挖掘 模型 决策树 |
| 文章编号： | 1005-1228(2005)06-0037-04 |
| 收稿时间： | 2005-09-26 |
| 修稿时间： | 2005年9月26日 |
Research on application of OLAP data mining model |
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| MO Li-ping,FAN Xiao-ping.Research on application of OLAP data mining model[J].Computer and Information Technology,2005,13(6):37-40. |
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| Authors: | MO Li-ping FAN Xiao-ping |
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| Affiliation: | 1 College of Information Science and Engineering, Central South University, Changsha , Hunan 410083, China; 2. School of Mathematics and Computer Science, Jishou University, Jishou , Hunan 416000, China |
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| Abstract: | OLAP data mining model combines two decision mechanism, data mining and on- line analytical processing, which can be accessed by Microsoft Analysis Services. Creating OLAP data mining model can be guided by Mining Model Wizard or be realized in programming with decision support objects. According to decision trees, virtual cubes and dimensions, OLAP data mining model which adopts Microsoft-Decision-Trees algorithm can analyze data and predict some features of data, which will help users to make decision. |
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| Keywords: | OLAP |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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