research-article

Research of Environment Data in Coal Mining Analysis Based on the Association Rule Mining

Authors:

Nan Zhang,

Jun Huang,

Taifeng QuanAuthors Info & Claims

ICCC '13: Proceedings of the Second International Conference on Innovative Computing and Cloud Computing

Pages 92 - 95

https://doi.org/10.1145/2556871.2556892

Published: 01 December 2013 Publication History

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Abstract

The main purpose of this paper is to use the association rule mining algorithm to analyze the relationship between the concentration of gas and the other environmental data in the mine. First we introduce a kind of association rule mining algorithm used in the field of coal mining. After introducing and giving the steps of the algorithm. Then use it to analyze the environmental data in the coal mining. The experimental result shows that the rate of flow and the subatmospheric pressure has some influence on the concentration of gas and we give the dangerous section with its support and confidence. Finally point out the deficiency of the Apriori_Tid and give the further research direction.

References

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Li SX, Wang WT, Xiao SY. An Analysis of the Current Situation of Security Production in Chinese Coal Enterprises and its Influential Factors. Journal of Changsha University of Science & Technology (Social Science).2008: 20-25.

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Liu Peng. Fuzzy comprehensive assessment of mine natural fire risk. Shaanxi Coal. 2011: 24-25.

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Liu Yao Nan. Analysis and using of Apriori. Journal of Foshan University(Natural Science Edition).

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Zhao Song. Improve and using of Apriori.Harbin University of Science and Technology. 2006.

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LI Xiao yi, Xu Zhao di. Algorithmic analysis of association rules mining.Journal of Liaoning Technical University.

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Index Terms

Research of Environment Data in Coal Mining Analysis Based on the Association Rule Mining
1. Applied computing
  1. Physical sciences and engineering
    1. Earth and atmospheric sciences
2. Information systems
  1. Information systems applications
    1. Data mining

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Published In

ICCC '13: Proceedings of the Second International Conference on Innovative Computing and Cloud Computing

December 2013

285 pages

ISBN:9781450321198

DOI:10.1145/2556871

General Chairs:
Min Wu
Nanchang University, China
,
Wei Lee
Asia Pacific Human-Computer Interaction Research Center, Hong Kong
,
Program Chairs:
Yiyi Zhouzhou
Azerbaijan State Oil Academy, Azerbaijan
,
Riza Esa
Kuala Lumpur ACM Chapter, Malaysia
,
Xiang Lee
Hong Kong Education Society, Hong Kong

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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ACM Wuhan Chapter: ACM Wuhan Chapter

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Association for Computing Machinery

New York, NY, United States

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Published: 01 December 2013

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ICCC '13

ICCC '13: 2013 The Second International Conference on Innovative Computing and Cloud Computing

December 1 - 2, 2013

Wuhan, China

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Abstract

References

Index Terms

Recommendations

A Survey on Association Rule Mining

TCOM, an innovative data structure for mining association rules among infrequent items

Analyzing Online Transaction Data using Association Rule Mining: Misumi Philippines Market Basket Analysis

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