About |
Data stream mining and modeling is a recent methodology that deals with the analysis of potentially large volumes of ordered sequences of data samples. Sensor networks, e-mails, online transactions, network traffic, weather forecasting, health monitoring, industrial process monitoring, and social networks are just some of the most common sources of this kind of data. Stream data arrive continuously. They dynamically change over the time, and need to be processed as soon as they arrive, in a finite amount of time. The idea is to capture the essence of the information within the data, and represent it in the parameters and structure of a model. Thus, special-purpose evolving data analysis methods, which are able to identify patterns in data in quite a real time, are needed to address major challenges such as nonstationarity (concept change) and large datasets (Big data). |
Call For Paper |
Topics of interest include, but are not limited to:
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OTHER SOFT COMPUTING EVENTS |
![]() ITCSS 2021 : 7th International Conference on Information Technology Convergence and Services
Vienna, Austria Mar 20, 2021 |
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![]() ITCCMA 2021 : 8th International Conference on Information Technology, Control, Chaos, Modeling and Applications
Copenhagen, Denmark Sep 18, 2021 |
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OTHER PATTERN RECOGNITION EVENTS |
![]() IPPR 2021 : 7th International Conference on Image Processing and Pattern Recognition
Copenhagen, Denmark Apr 24, 2021 |
![]() CGVCVIP 2021 : 15th International Conference on Computer Graphics, Visualization, Computer Vision and Image Processing
Online Jul 21, 2021 |
![]() SIGL 2021 : 8th International Conference on Signal and Image Processing
Sydney, Australia Mar 27, 2021 |
![]() SIGPRO 2021 : International Conference on Data Science and Cloud Computing
Copenhagen, Denmark Sep 18, 2021 |
![]() SIPP 2021 : 9th International Conference on Signal, Image Processing and Pattern Recognition
Vancouver, Canada May 29, 2021 |