Privacy preserving of associative classification and heuristic approach
In the era of data explosion, privacy preserving has become a necessary task for any data mining task. Therefore, data transformation to ensure privacy preservation is needed. Meanwhile, the transformed data must have quality to be used in the intended data mining task, i.e. the impact on the data q...
Saved in:
Main Authors: | Hamsamut N., Natwichai J., Seisungsittisunti B. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Online Access: | http://www.scopus.com/inward/record.url?eid=2-s2.0-57749178439&partnerID=40&md5=16828fc443702175fa4d08c03d1d6878 http://cmuir.cmu.ac.th/handle/6653943832/1355 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Language: | English |
Similar Items
-
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) -
Incremental privacy preservation for associative classification
by: Bowonsak Seisungsittisunti, et al.
Published: (2018) -
Incremental privacy preservation for associative classification
by: Bowonsak Seisungsittisunti, et al.
Published: (2018) -
A novel heuristic algorithm for privacy preserving of associative classification
by: Harnsamut N., et al.
Published: (2014)