Mine Safety Hazard Data Mining Model and Algorithm Analysis
LI Shi-qion
Abstract
LI Shi-qion
Abstract
With the development of underground coal mine production safety, more and more,massive hidden data investigation for the enterprise has brought enormous challenge. In this paper, by using the data mining technology design of the coal mine hidden danger data mining model, using Fp-Crowth algorithm summarizes a mine safety law, for the coal mine production safety strategy provides an effective data support.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
With the development of underground coal mine production safety, more and more,massive hidden data investigation for the enterprise has brought enormous challenge. In this paper, by using the data mining technology design of the coal mine hidden danger data mining model, using Fp-Crowth algorithm summarizes a mine safety law, for the coal mine production safety strategy provides an effective data support.
Key concepts: Coal mining, Mine safety, Mining engineering, Production (economics), Engineering, Data mining, Hazard, Hazard analysis