The deployment of MML for data analytics over the cloud

Jonathan Tancer, Aparna S. Varde

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Adoption of electronic records streamlines how critical information is stored and analyzed. A cloud computing environment provides vast storage capacity and CPU processing power for archival and analytics in a cost-effective manner. In this paper we present a study of deploying the medical markup language MML for storing and analyzing data using cloud services. In addition to emphasizing the advantages of the cloud, we provide a brief risk analysis of using cloud services in such a crucial domain. While we focus our discussion on the medical domain, similar arguments are applicable to other domains with sensitive information.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
Pages188-195
Number of pages8
DOIs
StatePublished - 1 Dec 2011
Event11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 - Vancouver, BC, Canada
Duration: 11 Dec 201111 Dec 2011

Publication series

NameProceedings - IEEE International Conference on Data Mining, ICDM
ISSN (Print)1550-4786

Other

Other11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
CountryCanada
CityVancouver, BC
Period11/12/1111/12/11

Keywords

  • Association rules
  • Markup languages
  • Risk analysis
  • Scientific data
  • Senstive information

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  • Cite this

    Tancer, J., & Varde, A. S. (2011). The deployment of MML for data analytics over the cloud. In Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 (pp. 188-195). [6137379] (Proceedings - IEEE International Conference on Data Mining, ICDM). https://doi.org/10.1109/ICDMW.2011.166