【24h】

Big data analysis of campus card based on spark

机译:基于Spark的校园卡大数据分析

获取原文
获取原文并翻译 | 示例

摘要

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收集的消费数据,并采用统计和数据挖掘方法,获得了有用的结果。本研究的目的是在传统的统计和数据方法挖掘中,如何利用大数据分析方法对校园卡消费数据进行处理,以提高工作效率。首先在Spark框架下处理消费数据,包括基于Spark SQL的消费者查询,以及使用Spark MLlib提供的K-Means方法挖掘消费数据。实验结果表明,采用Spark框架可以快速有效地分析校园卡消费数据。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号