Title :
The Deployment of MML for Data Analytics over the Cloud
Author :
Tancer, Jonathan ; Varde, Aparna S.
Author_Institution :
Dept. of Comput. Sci., Montclair State Univ., Montclair, NJ, USA
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 :
cloud computing; data handling; medical information systems; CPU processing power; MML deployment; cloud computing; data analytics; electronic records streamlines; medical markup language MML; storage capacity; Cloud computing; Data mining; Energy efficiency; Markup languages; Medical services; Servers; Association Rules; Markup Languages; Risk Analysis; Scientific Data; Senstive Information;
Conference_Titel :
Data Mining Workshops (ICDMW), 2011 IEEE 11th International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4673-0005-6
DOI :
10.1109/ICDMW.2011.166
