首页> 外文会议>International Conference on Computer Science and Network Technology >Contrast and study on binary AprioriAll sequence mining algorithm of IOT massive information processing
【24h】

Contrast and study on binary AprioriAll sequence mining algorithm of IOT massive information processing

机译:物联网大规模信息处理的二进制AprioriAll序列挖掘算法对比研究。

获取原文

摘要

This paper introduced the concept and the Technical architecture system of IOT, Analysis the current development of IOT and the relative shortage of relying on technology influences the development of IOT, studied on the technology of data mining applications with IOT massive information processing, improved the original AprioriAll sequence mining algorithm, created a new Binary AprioriAll sequence mining algorithm. The improved algorithm improves the efficiency of the algorithm by reducing the number of sequences in the database.
机译:本文介绍了物联网的概念和技术体系体系,分析了物联网的发展现状和依赖技术的相对不足影响物联网的发展,研究了物联网海量信息处理的数据挖掘应用技术,对物联网进行了改进。 AprioriAll序列挖掘算法,创建了新的Binary AprioriAll序列挖掘算法。改进的算法通过减少数据库中的序列数来提高算法的效率。

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