The First Workshop on Data Mining for Internet of Things
When : 2016-12-12
Where : Barcelona, Spain
Submission Deadline : 2016-08-05
Categories : Data Mining , Internet Computing
DMIoT 2016 : The First Workshop on Data Mining for Internet of Things
December 12, 2016
Barcelona, Spain
Call For Papers
The connections in this world are gradually moving beyond people to connections between things be they machines or devices. The consequence is the evolution of the connected world of things or Internet of Things. The manifestations include but are not limited to smart industry, smart homes, smart agriculture and connected car 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 a Pandora’s box 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 objective of this workshop is to address the data mining related challenges in the field of IoTs. 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 algorithm research in Internet of Things (IoT) and new applications with IoT generated data.
Topics of Interest
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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
- Multiple data source mining 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
IMPORTANT DATES
User Name : jerish
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