基于无缝运输信息网格的并行数据挖掘 |
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引用本文: | 肖群.基于无缝运输信息网格的并行数据挖掘[J].人天科学研究,2010(6):170-173. |
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作者姓名: | 肖群 |
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作者单位: | 新化教师进修学校,湖南新化417600 |
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基金项目: | 国家科技支撑计划项目(2008BAK49B02) |
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摘 要: | 铁路运输、公路运输、水路运输和航空运输等系统中积累了大量的原始数据信息,为了有效地从这些异地的海量数据信息中抽取知识给无缝运输管理者提供决策支持,结合网格技术和数据挖掘技术提出了一个基于无缝运输信息网格(STIG)的并行数据挖掘方案。该方案的架构包括四层:用户层、挖掘任务分析和管理层、计算层、数据层。该方案的实现主要涉及数据挖掘算法服务的发现、数据分配和大数据源的分布式处理等技术。
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关 键 词: | 无缝运输信息网格 并行数据挖掘 服务发现 数据分配 分布式处理 |
Parallel Data Mining Based on Seamless Transportation Information Grid |
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Abstract: | Railway,highway,waterway,and aviation etc.transportation system accumulated a great deal of primary data information.In order to extract knowledge effectively from the geographically dispersed mass data information and provide decision supporting for seamless transportation manager,the paper presents a parallel data mining solution through combing grid technology and data mining technology.Architecture of the solution includes four layers:user layer,mining job analysis and management layer,computation layer,data layer.Im plementation of the solution involves the following technologies mainly:discovery of data mining algorithm service,data allocation,dis tributed processing of large data source etc. |
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Keywords: | Seamless Transportation Information Grid Parallel Data Mining Service Discovery Data Allocation Distributed Processing |
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