基于深度学习的工业领域数据挖掘方法及应用

Data Mining Methodology and Application in Industrial Domain Based on Deep Learning

本文介绍一种应用于工业领域数据挖掘的方法论,它提出了传统数据挖掘方法CRISP-DM需要在工业情境下关注的内容,同时举例说明深度学习在工业时序数据分类方面的应用并指出其发展方向及意义。

This paper introduces a methodology applied to data mining in the industrial domain.It proposes the content that traditional data mining methodology needs to pay attention to in industrial context,and illustrates the application of deep learning in industrial time series data classification and points out its development direction.