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 language | English |
|---|---|
| Title of host publication | Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 |
| Pages | 188-195 |
| Number of pages | 8 |
| DOIs | |
| State | Published - 1 Dec 2011 |
| Event | 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 - Vancouver, BC, Canada Duration: 11 Dec 2011 → 11 Dec 2011 |
Other
| Other | 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011 |
|---|---|
| Country | Canada |
| City | Vancouver, BC |
| Period | 11/12/11 → 11/12/11 |
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Keywords
- Association rules
- Markup languages
- Risk analysis
- Scientific data
- Senstive information
Cite this
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The deployment of MML for data analytics over the cloud. / Tancer, Jonathan; Varde, Aparna.
Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011. 2011. p. 188-195 6137379.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
TY - GEN
T1 - The deployment of MML for data analytics over the cloud
AU - Tancer, Jonathan
AU - Varde, Aparna
PY - 2011/12/1
Y1 - 2011/12/1
N2 - 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.
AB - 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.
KW - Association rules
KW - Markup languages
KW - Risk analysis
KW - Scientific data
KW - Senstive information
UR - http://www.scopus.com/inward/record.url?scp=84857174084&partnerID=8YFLogxK
U2 - 10.1109/ICDMW.2011.166
DO - 10.1109/ICDMW.2011.166
M3 - Conference contribution
SN - 9780769544090
SP - 188
EP - 195
BT - Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
ER -