Incremental privacy preservation for associative classification
Privacy preserving has become an essential process for any data mining task. Therefore, data transformation to ensure privacy preservation is needed. In this paper, we address a problem of privacy preserving on an incremental-data scenario in which the data need to be transformed are not static, but...
Saved in:
Main Authors: | Bowonsak Seisungsittisunti, Juggapong Natwichai |
---|---|
Format: | Conference Proceeding |
Published: |
2018
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=74049135319&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/48926 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Incremental privacy preservation for associative classification
by: Bowonsak Seisungsittisunti, et al.
Published: (2018) -
Privacy preservation for associative classification: An approximation algorithm
by: Juggapong Natwichai
Published: (2018) -
Privacy preserving of associative classification and heuristic approach
by: Nattapon Hamsamut, et al.
Published: (2018) -
Incremental privacy preservation for associative classification
by: Seisungsittisunti B., et al.
Published: (2014) -
Achieving k-anonymity for associative classification in incremental-data scenarios
by: Bowonsak Seisungsittisunti, et al.
Published: (2018)