Mohamed Gaber
2018-11-26 12:23:49 UTC
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33rd ECMS INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION
(Data Stream Analytics Track)
Caserta, Area of Napoli, Italy
http://www.scs-europe.net/conf/ecms2019/
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This tracks area of interest is on the velocity dimension of Big Data. The analytics of high velocity data has many applications, such as large-scale simulation, health monitoring, topic detection in Twitter, transportation control, network intrusion detection, etc. Streaming data may change its characteristics over time resulting in what is known as concept drift. This track covers both papers on the methodology of data stream analytics but also applications enabled by data stream mining techniques.
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Topics of interest include but are not limited to:
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- Data stream mining algorithms, models and techniques
- Real-time data stream analytics applications
- Real-time analytics of simulation data
- Data stream analytics systems
- Big Data streams
- Concept drift detection
- Real-time event detection from streaming data
- Real-time signal processing
- Visualisation of real-time data streams
- Evaluation techniques
- Streaming data processing
- Lightweight data stream analytics algorithms for edge devices
- Mobile data stream mining
- Stream mining of large-scale simulation data
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DEADLINES:
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Full paper February 22, 2019
Acceptance notification March 26 , 2019
Final paper plus registration and payment BEFORE April 24, 2019
Conference dates in Caserta, Italy June 11 - 14, 2019
_______________________________________________
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33rd ECMS INTERNATIONAL CONFERENCE ON MODELLING AND SIMULATION
(Data Stream Analytics Track)
Caserta, Area of Napoli, Italy
http://www.scs-europe.net/conf/ecms2019/
---
This tracks area of interest is on the velocity dimension of Big Data. The analytics of high velocity data has many applications, such as large-scale simulation, health monitoring, topic detection in Twitter, transportation control, network intrusion detection, etc. Streaming data may change its characteristics over time resulting in what is known as concept drift. This track covers both papers on the methodology of data stream analytics but also applications enabled by data stream mining techniques.
---
Topics of interest include but are not limited to:
---
- Data stream mining algorithms, models and techniques
- Real-time data stream analytics applications
- Real-time analytics of simulation data
- Data stream analytics systems
- Big Data streams
- Concept drift detection
- Real-time event detection from streaming data
- Real-time signal processing
- Visualisation of real-time data streams
- Evaluation techniques
- Streaming data processing
- Lightweight data stream analytics algorithms for edge devices
- Mobile data stream mining
- Stream mining of large-scale simulation data
---
DEADLINES:
---
Full paper February 22, 2019
Acceptance notification March 26 , 2019
Final paper plus registration and payment BEFORE April 24, 2019
Conference dates in Caserta, Italy June 11 - 14, 2019
_______________________________________________
Please do not post msgs that are not relevant to the database community at large. Go to www.cs.wisc.edu/dbworld for guidelines and posting forms.
To unsubscribe, go to https://lists.cs.wisc.edu/mailman/listinfo/dbworld