DMIoT 2016 - First Workshop on Data Mining for Internet of Things

With more low-cost sensors and devices connected to the internet, huge amounts of data are being collected and analyzed. This has opened up a plethora of interesting research questions and applications in (but not limited to) data collection, data integration, data understanding, data mining, knowledge discovery, causality detection and data mining. 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 Internet of Things (IoT) and new applications with IoT-generated data.
Topics of Interest
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 of IoT data
Data mining for safety improvement
Data security and preserving privacy
Multiple data source mining
Data mining methods for IoT
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
IMPORTANT DATES
Submission deadline: August 5, 2016.
Notification Due: September 13, 2016.
Final Version Due : September 20, 2016.
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.
Best Paper Award (a cash award and certificate) will be announced during the DMIoT workshop.
DMIoT 2016 website: www.bosch-analytics.com/ICDM16IoT/