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 Pandoras 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.
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
12月12日
2016
会议日期
初稿截稿日期
终稿截稿日期
注册截止日期
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