Network mining techniques to analyze the risk of the occupational accident via bayesian network

Nihar Ranjan Nayak1, Sumit Kumar2, Deepak Gupta3, Ashish Suri4, Mohd Naved5, Mukesh Soni6
1Sri Venkateswara College of Engineering Technology
2Indian Institute of Management, Kozhikode, USA
3Department of Computer Science and Engineering, Institute of Technology and Management, Gwalior, India
4School of Electronics and Communication Engineering, Shri Mata Vaishno Devi University, Katra, Jammu and Kashmir, India
5Department of Business Analytics, Jagannath University, Delhi-NCR, India
6Senior IEEE Member, Bhopal, India

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Akşehır Z D, Oruç Y, Elıbol A, Akleylek S, Kili E (2018) On the analysis of work accidents data by using data preprocessing and statistical techniques. In: 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT), 1–6. https://doi.org/10.1109/ISMSIT.2018.8567309.

Chakraborty C, Gupta B, Ghosh SK (2015) Identification of chronic wound status under tele-wound network through smartphone. Int J Rough Sets and Data Anal (IJRSDA) 2(2):58–77

Chakraborty C, Gupta B, Ghosh S K (2017) Chronic wound characterization using bayesian classifier under telemedicine framework. In: Medical Imaging: Concepts, Methodologies, Tools, and Applications. 741–760. IGI Global

Chopra S, Dhiman G, Sharma A, Shabaz M, Shukla P, Arora M (2021) Taxonomy of adaptive neuro fuzzy inference system in modern engineering sciences. In: Ahmed SH (ed) Computational Intelligence and Neuroscience, vol 202. Hindawi Limited, pp 1–14. https://doi.org/10.1155/2021/6455592

Dai S, Sun Z, Zhang L, Zhou Q, Li Y (2020) Establish of fuzzy synthetic evaluation model and China coal mine safety risk analysis system. In: IEEE 3rd International Conference of Safe Production and Informatization (IICSPI), 514–517. https://doi.org/10.1109/IICSPI51290.2020.9332394.

Fang A, Peng X, Zhou J, Tang L (2018) Research on the map-matching and spatial-temporal visualization of expressway traffic accident information. In: 3rd IEEE International Conference on Intelligent Transportation Engineering (ICITE), 23–27. https://doi.org/10.1109/ICITE.2018.8492572.

Galindo C A C, Monge E L P (2018) Business intelligence: Evaluation of occupational risks using a dashboard focused on decision making. In: 13th Iberian Conference on Information Systems and Technologies (CISTI). 1–4. https://doi.org/10.23919/CISTI.2018.8399345.

Gumasing M J J, Sasot Z B (2019) An occupational risk analysis of garbage collection tasks in the Philippines. In: IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA). 408–413. https://doi.org/10.1109/IEA.2019.8715109

Ichikawa N (2015) Statistical accident analysis and electrical fatality rate in Japan, 2002–2011 - causes and preventive measures of fatal electrical accidents. IEEE IAS Electr Safety Workshop 2015:1–5. https://doi.org/10.1109/ESW.2015.7094956

Koščák P, Jenčová E, Galanda J, Liptáková D (2019) Airports SMS penetration with occupational health protection. New Trends in Aviation Developm (NTAD) 2019:96–101. https://doi.org/10.1109/NTAD.2019.8875592

Li M, Wang D, Shan H (2019) Risk assessment of mine ignition sources using fuzzy Bayesian network. Process Saf Environ Prot 125:297–306

Mahajan K, Garg U, Shabaz M (2021) CPIDM: A clustering based profound iterating deep learning model for HSI segmentation. In: Shanmuganathan V (ed) Wireless Communications and Mobile Computing, vol 2021. Hindawi Limited, pp 1–12. https://doi.org/10.1155/2021/7279260

Martin JE, Rivas T, Matías JM, Taboada J, Argüelles A (2009) A Bayesian network analysis of workplace accidents caused by falls from a height. Saf Sci 47(2):206–214

Modenese A, Gobba F, Paolucci V, John S M, Sartorelli P, Wittlich M (2020) Occupational solar UV exposure in construction workers in Italy: results of a one-month monitoring with personal dosimeters. In: 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC/I&CPS Europe). 1–5. https://doi.org/10.1109/EEEIC/ICPSEurope49358.2020.9160852

Munirathinam R, Ponnan S, Chakraborty C, Umathurai S (2021) Improved performance on seizure detection in an automated electroencephalogram signal under evolution by extracting entropy feature. Multimedia Tools and Applications 1–16

Patel DH, Sadatiya P, Patel DK, Barot P (2019) IoT based obligatory usage of safety equipment for alcohol and accident detection. 3rd Int conf Electr Commun Aerosp Technol (ICECA) 2019:71–74. https://doi.org/10.1109/ICECA.2019.8822104

Salvador L R, Thinh Van D (2016) Occupational safety and health: an overview. In: IEEE 11th International Symposium on Applied Computational Intelligence and Informatics (SACI). 355–360. https://doi.org/10.1109/SACI.2016.7507401

Sario M C, Prasetyo Y T (2021) Classification scheme of work-related accidents in a ready mixed concrete company. In: IEEE 8th International Conference on Industrial Engineering and Applications (ICIEA). 50–54. https://doi.org/10.1109/ICIEA52957.2021.9436720.

Sarkar S, Vinay S, Maiti J (2016) Text mining based safety risk assessment and prediction of occupational accidents in a steel plant. Int Conf Comput Tech Inform Commun Technol (ICCTICT) 2016:439–444. https://doi.org/10.1109/ICCTICT.2016.7514621

Sarkar S, Kumar A, Mohanpuria SK, Maiti J (2017) Application of Bayesian network model in explaining occupational accidents in a steel industry. In: 3th International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). 2017:337–392. https://doi.org/10.1109/ICRCICN.2017.8234531

Sarkar S, Ejaz N, Maiti J (2018) Application of hybrid clustering technique for pattern extraction of accident at work: a case study of a steel industry. In: 4th International Conference on Recent Advances in Information Technology (RAIT). 1–6. https://doi.org/10.1109/RAIT.2018.8389052

Sharma C, Amandeep B, Sobti R, Lohani TK, Shabaz M (2021) A secured frame selection based video watermarking technique to address quality loss of data: combining graph based transform, singular valued decomposition, and hyperchaotic encryption. In: Kaur M (ed) Security and Communication Networks, vol 2021. Hindawi Limited, pp 1–19. https://doi.org/10.1155/2021/5536170

Tang S, Shabaz M (2021) A new face image recognition algorithm based on cerebellum-basal ganglia mechanism. In: Chakraborty C (ed) Journal of Healthcare Engineering, vol 2021. Hindawi Limited, pp 1–11. https://doi.org/10.1155/2021/3688881

Wu F, Zhu C, Xu J, Bhatt M W, Sharma A (2021) Research on image text recognition based on canny edge detection algorithm and k-means algorithm. In: International Journal of System Assurance Engineering and Management. Springer Science and Business Media LLC. https://doi.org/10.1007/s13198-021-01262-0

Yao Q, Shabaz M, Lohani TK, Wasim Bhatt M, Panesar GS, Singh RK (2021) 3D modelling and visualization for vision based vibration signal processing and measurement. J Intell Syst 30(1):541–553. https://doi.org/10.1515/jisys-2020-0123

Ying JJ-C, Chang C-K, Chang Y-T (2020) Applying a genetic algorithm to determine premium rate of occupational accident insurance. Int Conf Mach Learn Cybernet (ICMLC) 2020:94–98. https://doi.org/10.1109/ICMLC51923.2020.9469570

Zhang L, Wu X, Skibniewski MJ, Zhong J, Lu Y (2014) Bayesian-network-based safety risk analysis in construction projects. Reliab Eng Syst Saf 131:29–39