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Big data analysis of campus card based on spark

机译:基于火花的校园卡大数据分析

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In recent years, people obtain useful results by analyzing consumption data collecting from campus card adapting statistical and data mining. The aim of this study is how to using the approaches of big data analytics in consumption data from campus card to improve working efficiency which is using traditional statistical and data methods mining. The consumption data first is processed under Spark framework, including consumer queries based on Spark SQL and mining consumption data by using K-Means approach given from Spark MLlib. Experimental results show adopting spark framework can quickly and efficiently to analyze campus card consumption data.
机译:近年来,人们通过分析从校园卡调整统计和数据挖掘的消费数据收集的消费数据获得有用的结果。本研究的目的是如何在校园卡中使用大数据分析中的大数据分析方法,以提高使用传统统计和数据方法采矿的工作效率。首先在Spark框架下处理消耗数据,包括基于Spark SQL和挖掘消耗数据的消费者查询,通过使用来自Spark Mllib给出的K-Meance方法。实验结果表明,采用火花框架可以快速有效地分析校园卡消费数据。

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