33rd INTERNATIONAL ECMS Conference on Modelling and Simulation

ISSN 2522-2422 (ONLINE) - ISSN 2522-2414 (Print) - ISSN 2522-2430 (CD-ROM)

ECMS 2019
                     

June 11 - 14, 2019
Caserta, Area of Napoli, Italy

 

Data Stream Analytics (DSM)

ECMS papers are listed in DBLP, SCOPUS, ISI, INSPEC and DOI


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Universitą degli Studi della Campania
Luigi Vanvitelli
Dipartimento di Matematica e Fisica

 

 

 

 

 

 

 

 

 

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:

  • 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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