Application of join algorithm in coal mine safety productio
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 analy...
| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Industry and Mine Automation
2015-01-01
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| Series: | Gong-kuang zidonghua |
| Subjects: | |
| Online Access: | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.01.005 |
| _version_ | 1797868732076261376 |
|---|---|
| author | HUANG Weili LIU Ying |
| author_facet | HUANG Weili LIU Ying |
| author_sort | HUANG Weili |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-10T00:01:37Z |
| format | Article |
| id | doaj.art-cc5e7c4cc9f445d39ae7b3c44fdbc020 |
| institution | Directory Open Access Journal |
| issn | 1671-251X |
| language | zho |
| last_indexed | 2024-04-10T00:01:37Z |
| publishDate | 2015-01-01 |
| publisher | Editorial Department of Industry and Mine Automation |
| record_format | Article |
| series | Gong-kuang zidonghua |
| spelling | doaj.art-cc5e7c4cc9f445d39ae7b3c44fdbc0202023-03-17T01:50:16ZzhoEditorial Department of Industry and Mine AutomationGong-kuang zidonghua1671-251X2015-01-01411182010.13272/j.issn.1671-251x.2015.01.005Application of join algorithm in coal mine safety productioHUANG WeiliLIU YingThe 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.http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.01.005coal mine safetyjoin algorithmlarge databloom filtermapreduce |
| spellingShingle | HUANG Weili LIU Ying Application of join algorithm in coal mine safety productio Gong-kuang zidonghua coal mine safety join algorithm large data bloom filter mapreduce |
| title | Application of join algorithm in coal mine safety productio |
| title_full | Application of join algorithm in coal mine safety productio |
| title_fullStr | Application of join algorithm in coal mine safety productio |
| title_full_unstemmed | Application of join algorithm in coal mine safety productio |
| title_short | Application of join algorithm in coal mine safety productio |
| title_sort | application of join algorithm in coal mine safety productio |
| topic | coal mine safety join algorithm large data bloom filter mapreduce |
| url | http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2015.01.005 |
| work_keys_str_mv | AT huangweili applicationofjoinalgorithmincoalminesafetyproductio AT liuying applicationofjoinalgorithmincoalminesafetyproductio |