**********************************************************************************
DATA STREAM ANALYTICS track of the 33rd International Conference on Modelling and Simulation

Caserta, Area of Napoli, Italy

June 11-14, 2019

Co-organized by:

Dr Frederic Stahl (University of Reading)
Prof. Mohamed Gaber (Birmingham City University)

http://www.scs-europe.net/conf/ecms2019/dsm.html
**********************************************************************************

This track’s 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:

1) Data stream mining algorithms, models and techniques
2) Real-time data stream analytics applications
3) Real-time analytics of simulation data
4) Data stream analytics systems
5) Big Data streams
6) Concept drift detection
7) Real-time event detection from streaming data
8) Real-time signal processing
9) Visualisation of real-time data streams
10) Evaluation techniques for data stream mining techniques
11) Streaming data processing
12) Lightweight data stream analytics algorithms for edge devices
13) Mobile data stream mining
14) Stream mining of large-scale simulation data

IMPORTANT DATES
Submission of Full-Length Papers (up to 7 pages): 26th February, 2019
Notification of Paper Acceptance: extended to 6th March 2019
Submission of Final Papers: 24th April, 2019
Conference dates in Belvedere Palace / Caserta: June 11- June 14, 2019


For paper submissions, please check: http://www.scs-europe.net/conf/ecms2019/deadlines.html