DMIS 2017

IEEE ICDM Workshop on Data Mining for Industrial Safety
November 18th 2017, New Orleans, Louisiana, USA

Workshop Overview

Industrial safety is important for safeguarding people’s life, especially in high risk domains such as nuclear, aircraft, chemical, oil and mining, and transportation industry. In these domains, a small misoperation may be catastrophic. Industrial safety tries to reduce the threat from these high risk domains to people. As various sensors have been widely deployed into industrial equipment, it enables to achieve a feasible scheme by mining the data from these sensors. Such a scheme is better than the traditional, because it is based on mining the special data from a potential risk source, and by such mining, the features of this potential risk can be obtained. With these features to design the algorithms/methods/schemes for industrial safety, the performance of the designed algorithms/methods/schemes will be better, because of the high pertinence between a solution and the corresponding problem. 


The target of industrial safety is to maintain a safe and healthy environment by designing different algorithms/methods/schemes for different industrial problems, for example, time series model based prediction algorithms are designed to predict the location and time point of a potential safety risk by mining the time series data from industrial environment.


The workshop is co-located with the IEEE International Conference on Data Mining (ICDM 2017).


Important Dates

All deadlines are at 11:59PM Pacific Daylight Time.

Workshop paper submission:August 19, 2017
Notifications of paper acceptance:September 07, 2017
Camera-ready deadline for the final version of accepted papers:September 15, 2017
Workshop date:November 18, 2017

Workshop Chairs

Yuanfang Chen
University Pierre and Marie Curie, France
Email: yuanfang_chen@ieee.org
Website: https://sites.google.com/site/yuanfangchen2017/
Yizhi Ren
Hangzhou Dianzi University, China
E-mail: renyz@hdu.edu.cn

Cheng Guo
Dalian University of Technology, China
E-mail: guocheng@dlut.edu.cn 

Yan Zhang
University of Oslo, Norway 


Weiqiang Xu
Zhejiang Sci-Tech University, China 


Publicity Chairs

Md Zakirul Alam Bhuiyan
Fordham University, USA
E-mail: mbhuiyan3@fordham.edu
         
Pierluigi Siano
University of Salerno
E-mail: psiano@unisa.it
Mohsen Guizani
University of Idaho, USA
E-mail: mguizani@ieee.org

Workshop Proceedings

All accepted workshop papers will be published in a formal IEEE proceedings, in the IEEE Computer Society Digital Library (CSDL) and the IEEE Xplore, and indexed by EI.