Introduction
The connections in this world are gradually moving beyond people to connections between physical objects or things. The consequence is the evolution of the connected world of things or Internet of Things. The manifestations include but are not limited to connected industry, smart homes and cities, smart health, smart agriculture, and connected mobility services.
With more low-cost sensors and devices connected to the internet, huge amounts of data are being collected and analyzed. This has opened up interesting research questions and applications in data collection, data integration, data understanding, data mining, knowledge discovery, and causal reasoning. The aim of this workshop is to bring together leading practitioners and researchers from the industry, academia, and government to discuss significant opportunities for data mining and machine learning research in IoT and share current success stories.
Topics of Interest
All submissions on theoretical, practical, experimental studies are encouraged. Topics include but are not limited to:
Infrastructure and data integration:
• Hardware and software for data collection process
• Architectures for mining big IoT data
• Database and data integration
Data mining use cases:
• Data mining application in healthcare, automotive, advanced manufacturing, smart cities, smart homes, and others
• Data mining in optimizing industrial process
• Visualization on IoT collected data
• Data mining for safety improvement
• Data security and preserving privacy
• Integrating heterogeneous sources
Data mining methods:
• Mining and analysis of spatial or temporal data
• Data mining methods on large scale learning
• Event detection methodologies
• Handling of uncertain/noisy data
• Real time data mining
• Knowledge discovery in streaming data
Submissions
Paper submissions should be limited to a maximum of 8 pages in the standard IEEE 2-column format, including the bibliography and any possible appendices.
All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2016 submission guidelines available at http://icdm2016.eurecat.org/.
Papers should be submitted in PDF format, electronically, using the IEEE ICDM CyberChair system.
Note that all accepted papers will be included in the IEEE ICDM 2016 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.
Best Paper Award (a cash award and certificate) will be announced during the DMIoT workshop.
Important Dates
Submission due: August 5, 2016
Notification of acceptance: September 13, 2016
Camera-ready deadline for accepted papers: September 20, 2016
Workshop date: December 12, 2016
Workshop Chairs
Soundar Srinivasan (Robert Bosch, LLC)
Rumi Ghosh (Robert Bosch, LLC)
Shan Kang (Robert Bosch, LLC)
Program Committee (Tentative)
Simon Mayer (Siemens)
Amit Sheth (Wright State University)
Majid Sarrafzadeh (University of California, Los Angeles)
Judith Tabolt Matthews (University of Pittsburgh)
Sameer Joshi (Infosys)
Jay Lee (University of Cincinnati)
Qiang Ma (Yahoo)
Soundar Srinivasan (Robert Bosch, LLC)
Rumi Ghosh (Robert Bosch, LLC)
Shan Kang (Robert Bosch, LLC)

DMIoT 2016 website: www.bosch-analytics.com/ICDM16IoT/