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Using clouds for scalable knowledge discovery applications

Published: 27 August 2012 Publication History

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.

References

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The European Commission. Unleashing the Potential of Cloud Computing in Europe. Brussels (2012)
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Witten, H., Frank, E.: Data Mining: Practical machine learning tools with Java implementations. Morgan Kaufmann Publishers (2000)
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Marozzo, F., Talia, D., Trunfio, P.: A Cloud Framework for Parameter Sweeping Data Mining Applications. In: Proc. of the 3rd International Conference on Cloud Computing Technology and Science, CloudCom 2011, Athens, Greece, pp. 367-374 (2011)
[4]
Quinlan, J. R.: C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers (1993)
[5]
Cesario, E., Lackovic, M., Talia, D., Trunfio, P.: A Visual Environment for Designing and Running Data Mining Workflows in the Knowledge Grid. In: Holmes, D. E., Jain, L.C. (eds.) Data Mining: Foundations and Intelligent Paradigms. ISRL, vol. 24, pp. 57-75. Springer, Heidelberg (2012)
[6]
Talia, D., Trunfio, P.: Service-Oriented Distributed Knowledge Discovery. Chapman and Hall/CRC Press (2012)

Cited By

View all
  • (2015)JS4CloudConcurrency and Computation: Practice & Experience10.1002/cpe.356327:17(5214-5237)Online publication date: 10-Dec-2015
  • (2014)A taxonomy for bioinformatics toolsProceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/2649387.2660852(805-812)Online publication date: 20-Sep-2014
  • (2013)Scalable script-based data analysis workflows on cloudsProceedings of the 8th Workshop on Workflows in Support of Large-Scale Science10.1145/2534248.2534261(124-133)Online publication date: 17-Nov-2013
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image Guide Proceedings
Euro-Par'12: Proceedings of the 18th international conference on Parallel processing workshops
August 2012
586 pages
ISBN:9783642369483
  • Editors:
  • Ioannis Caragiannis,
  • Michael Alexander,
  • Rosa Maria Badia,
  • Mario Cannataro,
  • Alexandru Costan

Sponsors

  • Computer Tech Inst.: Computer Technology Institute

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 27 August 2012

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Cited By

View all
  • (2015)JS4CloudConcurrency and Computation: Practice & Experience10.1002/cpe.356327:17(5214-5237)Online publication date: 10-Dec-2015
  • (2014)A taxonomy for bioinformatics toolsProceedings of the 5th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics10.1145/2649387.2660852(805-812)Online publication date: 20-Sep-2014
  • (2013)Scalable script-based data analysis workflows on cloudsProceedings of the 8th Workshop on Workflows in Support of Large-Scale Science10.1145/2534248.2534261(124-133)Online publication date: 17-Nov-2013
  • (2013)Cloud4SNPProceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics10.1145/2506583.2506605(468-475)Online publication date: 22-Sep-2013

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