基于时序数据的top-k时间区间对比序列模式挖掘算法

Mining Top-k Contrast Time Interval Sequential Patterns from Time Sequences

随着物联网技术的发展,现在越来越多的传感器被应用于人们的生活中,由此产生大量的时间序列数据。正是因为数据的爆炸式增长,人们迫切地希望从大量时间序列数据中发现有用的模式。目前已经有大量的序列模式分析算法应用到时序数据上。设计并实现一个应用到时序数据的top-k时间区间对比挖掘算法。

Nowadays, with the development of Internet of Thing technology, more and more sensors have been applied in people＇s life, so a lot of time sequences data has been produced. Because the explosion of time sequences data, people want to find useful pattern from time sequences data urgently. There are a lot of sequential patterns analysis algorithms are applied to the time sequences data. Designs and implements an algorithm of mining top-k contrast time interval sequential patterns from time sequences.