@inproceedings{87bf24a5486b4a9a8b3f34873074f532,
title = "The deployment of MML for data analytics over the cloud",
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.",
keywords = "Association rules, Markup languages, Risk analysis, Scientific data, Senstive information",
author = "Jonathan Tancer and Varde, {Aparna S.}",
year = "2011",
doi = "10.1109/ICDMW.2011.166",
language = "English",
isbn = "9780769544090",
series = "Proceedings - IEEE International Conference on Data Mining, ICDM",
pages = "188--195",
booktitle = "Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011",
note = "11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 ; Conference date: 11-12-2011 Through 11-12-2011",
}