A cloud framework for big data analytics workflows on azure

Advances in Parallel Computing

Volumn 23, Issue , 2013, Pages 182-191

  Marozzo, Fabrizio ^a   Talia, Domenico ^a,b   Trunfio, Paolo ^a  

^a UNIVERSITY OF CALABRIA   (Italy)

^b ICAR CNR   (Italy)

Author keywords

Cloud computing; Distributed data mining; Service oriented computing

Indexed keywords

EID: 84895177385     PISSN: 09275452     EISSN: None     Source Type: Book Series    
DOI: 10.3233/978-1-61499-322-3-182     Document Type: Article

References (6)

1. MIKE2.0, Big Data Definition, mike2.openmethodology.org/wiki/Big-Data- Definition, Oct. 2012.
2. D. Talia, P. Trunfio, Service-Oriented Distributed Knowledge Discovery, Chapman & Hall/CRC, USA, 2012.
3. J. R. Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, 1993.
4. F. Marozzo, D. Talia, P. Trunfio. A Cloud Framework for Parameter Sweeping Data Mining Applications. Proc. of the 3rd International Conference on Cloud Computing Technology and Science (CloudCom 2011), Athens, Greece, pp. 367-374, 2011.
5. E. Cesario, M. Lackovic, D. Talia, P. Trunfio. A Visual Environment for Designing and Running Data MiningWorkows in the Knowledge Grid. In: D. Holmes, L. Jain (Eds.), Data Mining: Foundations and Intelligent Paradigms, pp. 57-75, Springer, 2012.
6. H. Witten, E. Frank, Data Mining: Practical Machine Learning Tools with Java Implementations, Morgan Kaufmann, USA, 2000.