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2013
J. Vilaplana, F. Solsona, F. Abella, R. Filgueira, and J. Rius Torrento, The Cloud Paradigm Applied to e-Health, BMC Med. Inf. {&} Decision Making, vol. 13, p. 35, 2013.
M. P. Atkinson et al., The DATA Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business. John Wiley & Sons Inc., 2013, p. 580.
O. Corcho and J. van Hemert, Data-Intensive Analysis, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 127-145.
O. Corcho, Data-Intensive Components and Usage Patterns, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 165-179.
M. Atkinson, The Data-Intensive Survival Guide, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 37-60.
M. Atkinson, Data-Intensive Thinking with DISPEL, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Inc., 2013, pp. 61-122.
P. Martin and G. Yaikhom, Definition of the DISPEL Language, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Inc., 2013, pp. 203-236.
M. Atkinson and M. Parsons, The Digital-Data Challenge, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 5-13.
M. Atkinson, The Digital-Data Revolution, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 15-36.
A. Mouat and D. Snelling, DISPEL Development, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Inc., 2013, pp. 237-249.
C. S. Liew, A. Krause, and D. Snelling, DISPEL Enactment, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Inc., 2013, pp. 251-273.
A. D. Lloyd, T. M. Sloan, M. Antonioletti, and G. McGilvary, Embedded systems for global e-Social Science: Moving computation rather than data, Future Generation Computer Systems, vol. 29, no. 5, pp. 1120-1129, 2013.
M. Piotrowski et al., Exploiting Parallel R in the Cloud with SPRINT, Methods of Information in Medicine, vol. 52, no. 1, pp. 80-90, 2013.
T. Hey, Foreword, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, p. xvii-xviii.
F. Zhu, D. Rodríguez, T. K. Carpenter, M. P. Atkinson, and J. M. Wardlaw, Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging, IEEE Journal of Biomedical and Health Informatics, vol. PP, no. 99, pp. 1-8, 2013.
D. Snelling, Platforms for Data-Intensive Analysis, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 197-201.
M. Atkinson, Preface, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, p. xix-xxviii.
O. Corcho and J. van Hemert, Problem Solving in Data-Intensive Knowledge Discovery, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 147-163.
A. Spinuso, J. Cheney, and M. Atkinson, Provenance for seismological processing pipelines in a distributed streaming workflow, in EDBT/ICDT Workshops, 2013.
O. Corcho, Sharing and Reuse in Knowledge Discovery, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 181-192.
M. Carpené et al., Towards Addressing CPU-Intensive Seismological Applications in Europe, in International Supercomputing Conference, Leipzig, Germany, 2013.
S. Herres-Pawlis et al., User-friendly workflows in quantum chemistry, in IWSG 2013, Zurich, Switzerland, 2013.
G. McGilvary, A. Barker, A. Lloyd, and M. Atkinson, V-BOINC: The Virtualization of BOINC, In Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2013). 2013.
P. Missier, K. Belhajjame, and J. Cheney, The W3C PROV family of specifications for modelling provenance metadata, in EDBT, 2013.
S. Gesing, Web-based Science Gateways for Structural Bioinformatics. University of Tübingen, 2013.

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