DMIIOT 2019 : IEEE ICDM workshop – Data Mining in Industrial Internet of Things (DMIIOT)

  in Conferences   Posted on April 18, 2019

Conference Information

Submission Deadline Wednesday 07 Aug 2019 Proceedings indexed by :
Conference Dates Nov 8, 2019 - Nov 8, 2019
Conference Address Beijing, China
Conference & Submission Link
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers


Workshop on Data Mining in Industrial Internet of Things (DMIIOT)

to be held in conjunction with the IEEE International Conference on Data Mining 2019 in Beijing

Data generated by industrial internet of things (IIOT) have been growing at an exponential rate. Data mining plays an essential role in deriving actionable information from these raw data. By applying a variety of data mining technologies to historical and real time IIOT data, building supervised or unsupervised models, deploying them into the production environment to help business make better decisions, significant value can be created resulting in reduced waste, improved efficiency and broaden opportunity. The marriage between data mining and IIOT has found applications in industries such as manufacturing, energy, healthcare, retail, smart city and transportation.

The workshop will provide a venue for researchers and practitioners from both data mining and IIOT communities to exchange ideas, share best practices, discuss challenges and future directions. By fostering communication and collaboration, we drive innovative applications of data mining to IIOT. This workshop will be held along with 2019 IEEE International Conference on Data Mining, Beijing (

This workshop calls for papers that cover topics including, but not limited to, the following:

Data mining algorithms for IIOT

Data mining architectures in IIOT environment

Data mining applications in areas including manufacturing, energy, healthcare, smart city, transportation, etc.

Best practices, challenges and future developments

This workshop would like to call for research papers sharing the experiences from the real data and real-world practice. We do not require technical innovations (using existing data mining techniques is totally acceptable). All accepted workshop papers will be published in formal proceedings published by the IEEE Computer Society Press indexed by EI.

Paper Submissions:

Deadline: 7 August 2019, 11:59PM Pacific Time.


ICDM workshop follows the same submission requirement as ICDM papers.

Long paper (up to 8 pages) and short paper (up to 4 pages). The page limit includes the bibliography and any possible appendices.

All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2019 submission guidelines available at:

Papers should be submitted in PDF format, electronically, through email to

All accepted papers will be included in the IEEE ICDM 2019 Workshops Proceedings volume published by IEEE Computer Society Press and will also be included in the IEEE Xplore Digital Library. Therefore, papers must not have been accepted for publication elsewhere or be under review for another workshop, conferences or journals.


Paper Submission Deadline: 7 August 2019, 11:59 PM Pacific Time.

Paper Notification: 4 September 2019

Camera Ready Version: 8 September 2019

Workshop: 8 November 2019

Steering Committee

Dr. Jay Lee (Univ. of Cincinnati)

Dr. Qi Li (Peking University)

Dr. Shaofu Lin (Beijing University of Technology)

Dr. Shyam Varan Nath (Oracle)

Dr. Richard Mark Soley (Industrial Internet Consortium)

Dr. Honggang Wang (University of Massachusetts- Dartmouth)

Dr. Jiansheng Zhang (Tsinghua University)

Program Committee

Dr. Zhaoheng Gong (Harvard University)

Dr. Jay Lee (Univ. of Cincinnati)

Dr. Shaofu Lin (Beijing University of Technology)

Mr. Song Luo (China Academy of Information and Communication Technology)

Dr. Shyam Varan Nath (Oracle)

Dr. Honggang Wang (University of Massachusetts- Dartmouth)

Dr. Jiansheng Zhang (Tsinghua University)

Workshop Chairs

Dr. Ping Chen (University of Massachusetts-Boston)

E-mail:; Website:

Dr. Jiang (Jay) Zhou (AI Strike LLC)

E-mail:; Website:

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