Data Mining Implementations for Determining Root Causes and
Precautions of Occupational Accidents in Underground Hard Coal
Mining

Data Mining Implementations for Determining Root Causes and
Precautions of Occupational Accidents in Underground Hard Coal
Mining

Association rules mining
Data mining
Occupational accidents
Underground hard coal mining
WEKA

Nowadays, as in every branch of industry, a large amount of data can be collected in mining,
both in productivity and occupational safety. It is increasingly essential to transform this data into useful
information for enterprises. Data mining is very useful in processing and extracting useful information
from the processed data. This study aims to analyze the data of occupational accidents with injuries
between 2010 and 2021 in an underground hard coal mine by data mining.
Methods: The injured accident data for the relevant years were organized and analyzed using data
mining algorithms. These algorithms were implemented with the WEKA data mining program, an opensource application.
Results: According to different test methods, k-Nearest Neighborhood and Support Vector Machine algorithms succeeded in classification and prediction. The k-Nearest Neighborhood and Support Vector
Machine algorithms achieved 100% (training set) and 66% (cross-validation) performance, respectively,
according to two different test methods. One of the critical phases of the study is the determination of
the attributes and subclasses that are effective in the origin of accidents by association rules mining.
Thus, more detailed information was obtained about the root causes of the accidents. A result of Apriori
and Predictive Apriori implementations revealed that the root causes of occupational accidents according
to the accident locations are the worker experience, the working hours in the shift, and the worker
position. In addition, shifts, accident causes, especially monthly production, and monthly wages were
also influential.
Conclusions: These results are also in accordance with the actual situation in the enterprise. As a result of
the research, practical suggestions were presented for evaluating occupational accidents and taking
precautions

Bilal Altındis¸ 1
, Fatih Bayram 2,*

https://pdf.sciencedirectassets.com/287282/1-s2.0-S2093791124X00050/1-s2.0-S2093791124000696/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEFMaCXVzLWVhc3QtMSJIMEYCIQCqpKN0i6ruZhAOjUe2SQ6kXLEqYUUXOqBlfKg6M%2F5dFQIhAP0rL%2F1XjLQmVYIjA0%2BKokwv35j4ahOF9TY3tG%2BRc4kqKrMFCBsQBRoMMDU5MDAzNTQ2ODY1IgwovPOp4qtmyBVv0%2BEqkAVJo9a9r0NRNciObvv09hkkGVnC8JgNHuFqIs9O%2FGTOhrkT83PedgkTBXDxT1NDgWqDjb46K4IOfVkZctI64MBExqV52t%2Fob%2FkqNgyiDERfv%2FbjtVFEM4jRNEekgjPN1UqMH74pBPOrCWdgolTdoe%2BAfcfcgHyKLqm3uA9eJLczWxxPasp4JyZJaAPB6z2o9ibeu9knPi57%2FOm%2FEcz5SSIS0ID%2FfHCgbX4IGM4UMUiH4Ct3tFlRlYVNkcsXEyTWfy6VnuzRUdfc1PMmqVUmYB8zmAFZk8zt0guLcLbawSAfjo0XZQYbNUmxWFCzV4Y%2FnMt9eH1cTltF2IQZ5FS7SOXQ%2F9379GxItL8tZCfN1V3q88TQHtRGORRE9PdMDy5nP4DypV%2F1xHUpb9AjauBVX0sIVmm0RMFLf14EeKR%2BZnz1BRMrgBWX80Oh%2B1a4ji2D1Zv2npEskWvPqNhwaGWcs%2F9ePqMAkWzzvEErUEbsC65tf2REunABRMUvttpaP42%2B5lAnFOEYjtZAkLN9J3W1TSmU6ljCFi350DOKK3qTh9%2Brl4NiLk%2FLa2LWbBzZld%2Bl06PdhWi9nfh%2F8OQuTQchQCV570Knh15EOACJCMMCiqDfd4H1hzSiKcsrAilPePqB8ebd3Hheel9cszvnSrpoqPlxpuv84tDwcUxG8OAHsAigFFjqOHHViGPg0o1a3%2BPcBJ0l2V7ShvkZfT0KWn8pUMtfxAVXEbwwKodnGPSG4lM1ZzbFdE8T8GE11t6y%2FyfO2ibxIFE9ZOLn6vHdRFiLegpJM5mfTYjkJ%2BkTlUX41FYYH5Ib1IUI3BfM2C1qrWm0RWFTn4uyVEZWYCBD9t9xjZolbJP5r19AoQlmxm3fmmnsRDDs2v7MBjqwAZ5E%2BN4ATvZFPAJ38iYiQGBHOimO%2F5mOIu6bCGHDtzHhuk99fiVFNcPUoS1Lyg9kUaDe2GP6CEHuXNsD3KaKKfKKQgETZGncROCr9w7bChQVvhlWLBXpfmyGI5EA%2FNA5G7w23fXHBeh2uykXxi0D50uDFlfofyUzMHVKsFI%2FMmtPoR0o88fOWTGfZ8ZG%2BZHdZwLVvGOuHRm9MoGjaPXArvsXh5rz00p8ZcvLVPUJ8kSj&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20260226T031651Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYT2YIETVW%2F20260226%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=90759d1939a3b0b1b948ea50f36cbb2b472a4a71d81a8b4e515f96866f0fc812&hash=6536dfb3846f6c7895ae7bc17c56dd999856168a0fbb6a18cf6346477ea4a757&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2093791124000696&tid=spdf-732fd86d-1bd1-4eb6-86fa-93c3b331c8df&sid=830681cc5d60f646526bf61913cd5206d1e8gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=0b015e065401555e53&rr=9d3c493e68ec0d3d&cc=id

1 TTK Turkish Hard Coal Corporation, Türkiye
2Department of Mining Engineering, Afyon Kocatepe University, 03200, Afyonkarahisar, Türkiye

6 September 2024

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