| A New flustering approach for Privacy Preserving Data Fishing in Tele-Health Care Systems | |
Abstract/OtherAbstract
:
|
The genesis of the privacy preserving data mining techniques haul out the relevant intellect from mammoth amount of data in Tele-health care systems, while shielding at the same time sensitive information. A number of data fishing techniques, integrating privacy protection mechanisms, have been developed that allow one to smokescreen sensitive item sets or patterns, ahead of the execution of the data fishing process. An imperative issue is to settle on which ones among these privacy preserving techniques are superior enough to protect sensitive information. In this paper, we analyse the existing privacy breaches data perturbation techniques. With the impetus of increasing the data utility, and without compromising the simplicity of the process of perturbation, we have proposed a new variant of the random projection-based perturbation technique for mystifying the tele-health care data of individuals called the flustering approach. We have implemented and evaluated the competence of flustering technique on our own conceptual framework. We hope the proposed solution will get hold of new techniques, paving the way for a research track and working well, according to the evaluation metrics, including hiding effects, data utility and time performance. |
Authors
:
|
J. Indumathi, G.V. Uma |
Related Documents
:
|
7756469 - Feature selection for temporal health records 3189669 - Lead-acid battery aging and state of health diagnosis 8207209 - Disclosure of health databases 33882949 - Improvement of the efficiency model in health care through the use of stakeholders' ana... 3794459 - Review of vibration-based helicopters health and usage monitoring methods 8428659 - The nature of puerto rican folk health practices through healers [sic] perceptions and ... 32989569 - Bbc news : health 7637429 - Dma : a diabetes disease management system |
Contributors
:
|
Int. J. of Healthcare Technology and Management |
Publication Detail
:
|
Publisher : Inderscience Publishers Type : - Format : - |
Date Detail
:
|
2008-09-08 |
Subject
:
|
data fishing, data matrix, dimensionality reduction, dissimilarity matrix, flustering, orthogonal projection, privacy preservation, data mining, random projection, rotations, very sparse projection, telemedicine, telehealthcare, healthcare technology, data perturbation, health data, data protection, privacy protection. |
Coverage
:
|
- |
Relation
:
|
ISSN online: 1741-5144 ISSN print: 1368-2156 |
Source
:
|
IJHTM (2008), Vol 9 Issue 5/6, pp 495 - 516 |
Copyright Information
:
|
Inderscience Copyright |
Other Details
:
|
Languages : eng |
Export Citation
:
|
APA/MLA Format Download EndNote Download BibTex |
Previous Document: Assessment models for telemedicine services in national health systems
Next Document: Portable telecardiac system for arrhythmia monitoring and alerting