Comparative study on perturbation techniques in privacy preserving data mining
Data Mining is a computational process that able to identify patterns, trends and behaviour from large datasets. With this advantages, data mining has been applied in many fields such as finance, healthcare, retail and so on. However, information disclosure become one of an issue during data mining...
Saved in:
Main Authors: | Ko, Desmond Khang Siang, Othman, Siti Hajar, Raja Mohd. Radzi, Raja Zahilah |
---|---|
Format: | Article |
Published: |
Penerbit UTM Press
2018
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/82065/ http://dx.doi.org/10.11113/ijic.v8n1.161 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A survey on privacy preserving data mining approaches and techniques
by: Md. Siraj, M., et al.
Published: (2019) -
A comprehensive review on privacy preserving data mining
by: Aldeen, Yousra Abdul Alsahib S., et al.
Published: (2015) -
Hybrid solution for privacy preserving data mining on the cloud computing
by: Osman, Huda, et al.
Published: (2020) -
Privacy preserving data mining using anonymization and K-means clustering on labor dataset
by: Ahmad Zahari, Samahah Solehah
Published: (2019) -
Towards enhancement of privacy-preserving data mining model for predicting students learning outcomes performance
by: Abdul Samad, Adlina, et al.
Published: (2021)