时间序列数据挖掘在瓦斯监测中的应用

The Application of Data Mining of Time Series in Monitor of Coal Mine

时间序列数据挖掘是一种根据动态数据揭示系统动态结构和规律的方法。本文就时间序列数据挖掘的国内外研究现状、时间序列分析等进行了论述,在分析了煤矿瓦斯监测数据的特点和多种模型的特征基础上,提出了论文所适用的数据模型为ARMA,同时,对特定的数据进行了数据建模,并对结果进行了分析和验证.。

The analysis of the time series is a statistic theory which is based on dynamic system structure and rule. It is explained about domestic and outboard researching present conditions of time series date mining, time series analysis in the thesis. By anlysising the features of coal mine gas observing date and several species of model, this thesis declares a suitable date and model ARMA. At the same time, this thesis creates a model of specific date and also analyses test and verify it＇s conclusion.