Cost-sensitive incremental Classification under the MapReduce framework for Mining Imbalanced Massive Data Streams

2015 ◽  
Vol 18 (1-2) ◽  
pp. 177-194 ◽  
Author(s):  
Huang Yuwen
2015 ◽  
Vol 22 (3) ◽  
pp. 99-104 ◽  
Author(s):  
Henryk Krawczyk ◽  
Michał Nykiel ◽  
Jerzy Proficz

Abstract The recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams containing radio-telescope and satellite observations. Their analysis, especially with real-time constraints, can be challenging and requires the usage of dedicated software components. We propose a solution for such parallel analysis using the supercomputer, supervised by the KASKADA platform, which with the conjunction with immerse 3D visualization techniques can be used to solve problems such as pulsar detection and chronometric or oil-spill simulation on the sea surface.


2019 ◽  
Vol 15 (6) ◽  
pp. 814-823
Author(s):  
Jakup Fondaj ◽  
Zirije Hasani

2002 ◽  
Vol 32 (1) ◽  
pp. 131-151 ◽  
Author(s):  
Joan Feigenbaum ◽  
Sampath Kannan ◽  
Martin J. Strauss ◽  
Mahesh Viswanathan
Keyword(s):  

2018 ◽  
Vol 126 ◽  
pp. 224-233 ◽  
Author(s):  
Rania Mkhinini Gahar ◽  
Olfa Arfaoui ◽  
Minyar Sassi Hidri ◽  
Nejib Ben Hadj-Alouane

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