首页> 外文会议>Internet of things, smart spaces, and next generation networks and systems >Time Series Distributed Analysis in IoT with ETL and Data Mining Technologies
【24h】

Time Series Distributed Analysis in IoT with ETL and Data Mining Technologies

机译:使用ETL和数据挖掘技术的物联网中的时间序列分布式分析

获取原文
获取原文并翻译 | 示例

摘要

The paper describes an approach to performing a distributed analysis on time series. The approach suggests to integrate Data Mining and ETL technologies and to perform primary analysis of time series based on a subset of data sources (primary data sources). Other data sources are only used if it is necessary to obtain additional information. This allows to reduce the number of requests to data sources and network traffic. In the result it makes it possible to use communication channels with low bandwidth (including wireless networks) for data collection.
机译:本文介绍了一种对时间序列执行分布式分析的方法。该方法建议集成数据挖掘和ETL技术,并基于数据源的子集(主要数据源)执行时间序列的主要分析。仅在有必要获取其他信息时才使用其他数据源。这样可以减少对数据源和网络流量的请求数量。结果,可以使用低带宽的通信信道(包括无线网络)进行数据收集。

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