posted by organizer: rumighosh2002 || 20256 views || tracked by 4 users: [display]

DMIoT 2016 : The First Workshop on Data Mining for Internet of Things (DMIoT 2016) held in conjunction with the IEEE International Conference on Data Mining series (ICDM)

FacebookTwitterLinkedInGoogle

Link: http://www.bosch-analytics.com/ICDM16IoT/
 
When Dec 12, 2016 - Dec 12, 2016
Where Barcelona, Spain
Submission Deadline Aug 5, 2016
Notification Due Sep 13, 2016
Final Version Due Sep 20, 2016
Categories    data mining   internet of things   analytics   big data
 

Call For Papers

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/

Related Resources

ADAH 2017   Advanced Data Analytics in Health
ACML 2017   The 9th Asian Conference on Machine Learning
IoTBDS 2018   3rd International Conference on Internet of Things, Big Data and Security
IEEE Big Data 2017   2017 IEEE International Conference on Big Data
WorldCIS 2017   World Congress on Internet Security
ICCBDC - ACM 2017   International Conference on Cloud and Big Data Computing (ICCBDC 2017)--Ei Compendex and Scopus
data-driven 2017   Special Issue on “Data-Driven User Behavioral Modeling: From Real-World Behavior to Knowledge, Algorithms, and Systems”
MIWAI 2017   The 11th Multi-disciplinary International Workshop on Artificial Intelligence
WSDM 2018   The 11th ACM International Conference on Web Search and Data Mining
FI-IoTSP 2018   Future Internet Journal: Special Issue on IoT Security and Privacy