Application of join algorithm in coal mine safety productio

HUANG Weili; LIU Ying

doi:10.13272/j.issn.1671-251x.2015.01.005

Volume 41 Issue 1

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HUANG Weili, LIU Ying. Application of join algorithm in coal mine safety productio[J]. Industry and Mine Automation, 2015, 41(1): 18-20. doi: 10.13272/j.issn.1671-251x.2015.01.005

Citation:

HUANG Weili, LIU Ying. Application of join algorithm in coal mine safety productio[J]. Industry and Mine Automation, 2015, 41(1): 18-20. doi: 10.13272/j.issn.1671-251x.2015.01.005

HUANG Weili, LIU Ying. Application of join algorithm in coal mine safety productio[J]. Industry and Mine Automation, 2015, 41(1): 18-20. doi: 10.13272/j.issn.1671-251x.2015.01.005

Citation:

HUANG Weili, LIU Ying. Application of join algorithm in coal mine safety productio[J]. Industry and Mine Automation, 2015, 41(1): 18-20. doi: 10.13272/j.issn.1671-251x.2015.01.005

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Application of join algorithm in coal mine safety productio

doi: 10.13272/j.issn.1671-251x.2015.01.005

College of Information and Electrical Engineering, Hebei University of Engineering, Handan 056038, China

Publish Date: 2015-01-10

Abstract

Abstract

The paper analyzed influence factors of coal mine safety production, and introduced large data technology to analyze data of coal mine safety production. It also put forward a star join algorithm based on Bloom filter to deal with the problems of multi-table connection in process of large data analysis. The experimental results show that the algorithm can improve efficiency of using large data to analyze coal mine safety production data in space and time compared with the traditional algorithm.
- coal mine safety,
- join algorithm,
- large data,
- Bloom filter,
- MapReduce