2016 International Conference on Inventive Computation Technologies (ICICT) 2016
DOI: 10.1109/inventive.2016.7823283
|View full text |Cite
|
Sign up to set email alerts
|

A proposed hybrid approach for privacy preserving data mining

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
2
2
1

Relationship

0
5

Authors

Journals

citations
Cited by 5 publications
(2 citation statements)
references
References 12 publications
0
2
0
Order By: Relevance
“…According to [2], types of data may be image, video, text or images etc. Privacy preserving techniques are generally classified in to main five categories 1.…”
Section: IImentioning
confidence: 99%
See 1 more Smart Citation
“…According to [2], types of data may be image, video, text or images etc. Privacy preserving techniques are generally classified in to main five categories 1.…”
Section: IImentioning
confidence: 99%
“…When compared on the basis of information loss and privacy achieved anonymization suffers a significantly high information loss. The proposed hybrid technique can successfully achieve the goal of privacy preservation without any information loss as the using the algorithm the distorted values can be reverted to its original values successfully [2]. There is no single technique reliable in all domains is also analyzed.…”
Section: Introductionmentioning
confidence: 99%