Improvement in the Efficiency of a Distributed Multi-Label Text Classification Algorithm Using Infrastructure and Task-Related Data

Improvement in the Efficiency of a Distributed Multi-Label Text Classification Algorithm Using Infrastructure and Task-Related Data

Distributed computing technologies allow a wide variety of tasks that use large amounts of data to be solved. Various paradigms and technologies are already widely used, but many of them are lacking when it comes to the optimization of resource usage. The aim of this paper is to present the optimiza...

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Bibliographic Details
Main Authors: Martin Sarnovsky, Marek Olejnik
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Informatics
Subjects:
text classification
multi-label classification
distributed text-mining
task assignment
resource optimization
grid computing
Online Access:http://www.mdpi.com/2227-9709/6/1/12

Internet

http://www.mdpi.com/2227-9709/6/1/12

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