Prediction of Occupational Accidents Using Decision Tree Approach

被引：0

作者：

Sarkar, Sobban ^{[1
]}

Patel, Atul ^{[2
]}

Madaan, Sarthak ^{[1
]}

Maiti, Jhareswar ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Ind & Syst Engn, Kharagpur, W Bengal, India

[2] Indian Inst Technol, Dept Elect Engn, Kharagpur, W Bengal, India

来源：

2016 IEEE ANNUAL INDIA CONFERENCE (INDICON) | 2016年

关键词：

Occupational accidents; Steel plant; Prediction; CART; Grid search; Genetic algorithm; CLASSIFICATION;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

The focus of the present study is to build a predictive model which not only could predict the occupational incidents but also provide rules for explaining accident scenarios like near-miss, property damage, or injury cases. Classification and regression tree (CART) is used for prediction purpose. Furthermore, the parameters of CART have been tuned by grid based tuning and genetic algorithm (GA). The experimental results show that the GA optimized CART provides better accuracy than others. Additionally, the best rules extracted from GA optimized CART are discussed in order to adopt better safety precautionary measures at work.

引用

页数：6

共 50 条

[31] Approximate reliability expressions using a decision tree approach
Rocco, CM
[J]. ANNUAL RELIABILITY AND MAINTAINABILITY SYMPOSIUM, 2004 PROCEEDINGS, 2004, : 116 - 121
[32] An improvement approach for word tendency using decision tree
Atlam, ES
Ghada, E
Fuketa, M
Morita, K
Aoe, J
[J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 4, PROCEEDINGS, 2005, 3684 : 606 - 611
[33] Investigation of Occupational Accidents in Western Lignite Corporation by Using the Efficiency Assessment Approach
Sensogut, Cem
Kasap, Yasar
Oren, Ozer
[J]. MINING METALLURGY & EXPLORATION, 2020, 37 (02) : 783 - 790
[34] Spatial prediction of landslide susceptibility using a decision tree approach: a case study of the Pyeongchang area, Korea
Park, Inhye
Lee, Saro
[J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2014, 35 (16) : 6089 - 6112
[35] New phasor-based approach for online and fast prediction of generators grouping using decision tree
Koochi, Mohammad Hossein Rezaeian
Esmaeili, Saeid
Fadaeinedjad, Roohollah
[J]. IET GENERATION TRANSMISSION & DISTRIBUTION, 2017, 11 (06) : 1566 - 1574
[36] The rainfall-induced landsliding in Western Serbia: A temporal prediction approach using Decision Tree technique
Marjanovic, Milos
Krautblatter, Michael
Abolmasov, Biljana
Duric, Uros
Sandic, Cvjetko
Nikolic, Velizar
[J]. ENGINEERING GEOLOGY, 2018, 232 : 147 - 159
[37] A New Approach For Prediction of Lung Carcinoma Using Back Propogation Neural Network with Decision Tree Classifiers
Hsu, Ching-Hsien
Manogaran, Gunasekaran
Panchatcharam, Parthasarathy
Vivekanandan, S.
[J]. 2018 IEEE 8TH INTERNATIONAL SYMPOSIUM ON CLOUD AND SERVICE COMPUTING (SC2), 2018, : 111 - 115
[38] Formation Resistivity Prediction Using Decision Tree and Random Forest
Ahmed Farid Ibrahim
Ahmed Abdelaal
Salaheldin Elkatatny
[J]. Arabian Journal for Science and Engineering, 2022, 47 : 12183 - 12191
[39] On Improving the Prediction Accuracy of a Decision Tree Using Genetic Algorithm
Adnan, Md Nasim
Islam, Md Zahidul
Akbar, Md Mostofa
[J]. ADVANCED DATA MINING AND APPLICATIONS, ADMA 2018, 2018, 11323 : 80 - 94
[40] Human Protein Function Prediction using Decision Tree Induction
Singh, Manpreet
Wadhwa, Parminder Kaur
Sandhu, Parvinder Singh
[J]. INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY, 2007, 7 (04): : 92 - 98

← 1 2 3 4 5 →