Using clouds for scalable knowledge discovery applications

Authors:
Fabrizio Marozzo;Domenico Talia;Paolo Trunfio
Affiliations:
DIMES, University of Calabria, Italy;DIMES, University of Calabria, Italy, ICAR-CNR, Rende, CS, Italy;DIMES, University of Calabria, Italy
Venue:
Euro-Par'12 Proceedings of the 18th international conference on Parallel processing workshops
Year:
2012

Citing 4
Cited 2

C4.5: programs for machine learning

C4.5: programs for machine learning
Data mining: practical machine learning tools and techniques with Java implementations

Data mining: practical machine learning tools and techniques with Java implementations
A Cloud Framework for Parameter Sweeping Data Mining Applications

CLOUDCOM '11 Proceedings of the 2011 IEEE Third International Conference on Cloud Computing Technology and Science
Service-Oriented Distributed Knowledge Discovery

Service-Oriented Distributed Knowledge Discovery

Cloud4SNP: Distributed Analysis of SNP Microarray Data on the Cloud

Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
Scalable script-based data analysis workflows on clouds

WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science

Quantified Score

Hi-index	0.00

Visualization

Abstract

Cloud platforms provide scalable processing and data storage and access services that can be exploited for implementing high-performance knowledge discovery systems and applications. This paper discusses the use of Clouds for the development of scalable distributed knowledge discovery applications. Service-oriented knowledge discovery concepts are introduced, and a framework for supporting high-performance data mining applications on Clouds is presented. The system architecture, its implementation, and current work aimed at supporting the design and execution of knowledge discovery applications modeled as workflows are described.