| 基于OLAP多维数据模型的时间序列分析技术 |
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| 引用本文： | 钱灿,张怡. 基于OLAP多维数据模型的时间序列分析技术[J]. 邮电设计技术, 2010, 0(12): 67-70 |
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| 作者姓名： | 钱灿 张怡 |
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| 作者单位： | [1]支付宝（中国）网络技术有限公司,浙江杭州310099 [2]中讯邮电咨询设计院有限公司,四川成都610042 |
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| 摘 要： | 在海量数据条件下,传统的数据统计方法在灵活性和效率等方面受到了制约,为此提出了一种时间序列多维数据建模方法和聚类算法,将OLAP技术应用到时间序列分析技术中,并以实例论证了方案的可行性和实用性。
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| 关 键 词： | 联机分析处理 数据仓库 时间序列 多维数据模型 维度 聚类算法 |
Time Series Analysis Technology Based on LAP Multi-dimensional Data Model |
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| Qian Can,Zhang Yi. Time Series Analysis Technology Based on LAP Multi-dimensional Data Model[J]. Designing Techniques of Posts and Telecommunications, 2010, 0(12): 67-70 |
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| Authors: | Qian Can Zhang Yi |
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| Affiliation: | 1.Alipay.com Co.,Ltd.,Hangzhou 310099,China;2.China Information Technology Designing ＆ Consulting Institute Co.,Ltd.,Chengdu 610042,China) |
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| Abstract: | On the condition of mass data,traditional mathematical statistics is restricted in respect of flexibility and efficiency.In order to break these restrictions,OLAP technology was applied to time series analysis by means of putting forward a method and a clustering algorithm for multidimensional data modeling of time series.Finally,an example was given to prove the feasibility and practicability of the solution. |
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| Keywords: | OLAP Data warehouse Time series Multidimensional data model Dimension Clustering algorithm |
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