The deployment of MML for data analytics over the cloud

Jonathan Tancer; Aparna S. Varde

doi:10.1109/ICDMW.2011.166

The deployment of MML for data analytics over the cloud

Jonathan Tancer, Aparna S. Varde

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 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 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	https://doi.org/10.1109/ICDMW.2011.166
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

Publication series

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

Other

Other	11th IEEE International Conference on Data Mining Workshops, ICDMW 2011
Country	Canada
City	Vancouver, BC
Period	11/12/11 → 11/12/11

Keywords

Association rules
Markup languages
Risk analysis
Scientific data
Senstive information

Access to Document

10.1109/ICDMW.2011.166

Cite this

@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",

month = dec,

day = "1",

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 = "null ; Conference date: 11-12-2011 Through 11-12-2011",

}

Tancer, J & Varde, AS 2011, The deployment of MML for data analytics over the cloud. in Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011., 6137379, Proceedings - IEEE International Conference on Data Mining, ICDM, pp. 188-195, 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011, Vancouver, BC, Canada, 11/12/11. https://doi.org/10.1109/ICDMW.2011.166

The deployment of MML for data analytics over the cloud. / Tancer, Jonathan; Varde, Aparna S.

Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011. 2011. p. 188-195 6137379 (Proceedings - IEEE International Conference on Data Mining, ICDM).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The deployment of MML for data analytics over the cloud

AU - Tancer, Jonathan

AU - Varde, Aparna S.

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

AN - SCOPUS:84857174084

SN - 9780769544090

T3 - Proceedings - IEEE International Conference on Data Mining, ICDM

SP - 188

EP - 195

BT - Proceedings - 11th IEEE International Conference on Data Mining Workshops, ICDMW 2011

Y2 - 11 December 2011 through 11 December 2011

ER -

The deployment of MML for data analytics over the cloud

Abstract

Publication series

Other

Keywords

Access to Document

Other files and links

Fingerprint

Cite this