Research and application on occupational hazards regulation big data

Big date application soars in commercial and data industries. By analyzing overall framework of occupational hazards regulation big date platform, process from the source to the end-user and the occupational hazards regulation big data application architecture was illustrated in this issue. The data integration, analysis, processing and display technologies were researched to meet the requirements of occupational hazards regulation. Key technologies of big data will bring a new development opportunity for the construction of occupational hazards regulation platform.

[1]  Xindong Wu,et al.  Data mining with big data , 2014, IEEE Transactions on Knowledge and Data Engineering.

[2]  Kyuseok Shim,et al.  MapReduce Algorithms for Big Data Analysis , 2013, DNIS.

[3]  Meng Xiaofeng and Ci Xiang,et al.  Big Data Management: Concepts，Techniques and Challenges , 2013 .

[4]  J. Manyika.  Big data: The next frontier for innovation, competition, and productivity , 2011 .

[5]  Weipeng Jing,et al.  Big Data Technology and Applications , 2015, Communications in Computer and Information Science.

[6]  Marimuthu Palaniswami,et al.  Fuzzy c-Means Algorithms for Very Large Data , 2012, IEEE Transactions on Fuzzy Systems.

[7]  Yuhua Li,et al.  Selecting Critical Patterns Based on Local Geometrical and Statistical Information , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.