目录
目录....................................................................................................................................................2
摘要....................................................................................................................................................3
关键词................................................................................................................................................4
第一章 绪论......................................................................................................................................4
1.1 研究背景与意义.................................................................................................................4
1.2 研究现状与问题分析.........................................................................................................5
1.3 研究内容与方法.................................................................................................................6
第二章 Hadoop 技术原理与应用 ....................................................................................................8
2.1 Hadoop 框架介绍 ................................................................................................................8
2.2 Hadoop 在大数据处理中的应用 ........................................................................................9
2.3 Hadoop 优化与性能调优 ..................................................................................................10
第三章 电梯安全数据采集与预处理............................................................................................12
3.1 电梯传感器数据采集.......................................................................................................12
3.2 电梯数据清洗与预处理...................................................................................................13
3.3 电梯数据特征提取与选择...............................................................................................15
第四章 电梯安全大数据挖掘算法研究........................................................................................17
4.1 关联规则挖掘算法...........................................................................................................17
4.2 聚类分析算法...................................................................................................................18
4.3 预测分析算法...................................................................................................................19
第五章 结论与展望........................................................................................................................21
5.1 研究总结与成果展示.......................................................................................................21
5.2 研究不足与展望...............................................................................................................23
