qiyuangong/HILB_iDIST
HILB and iDIST are two efficient anonymization algorithms proposed by Gabriel Ghinita in his paper. This repository is a python implementation for HILB and iDIST.
Public GitHub Catalog
Discovered Sep 30, 2026
qiyuangong / How_to_Search_and_Read_a_Paper
本文档适合于刚入学的硕士和博士(计算机专业最好，其他专业可参考)。
About this discovery
Public repository record indexed from GitHub. Explore verified star velocity metrics, source code repositories, and curated developer tool directories across the GitHubRepo ecosystem.
#19771653GitHub System ID
qiyuangongOrganization / User
PublicVisibility
ActiveCatalog Status
More from qiyuangong
qiyuangong/1M_Generalization
1M_Generalization is a simple anonymization algorithm for 1:M dataset. It contains two sub-algorithms: Mondrian (for relational part) and Partition (transaction part). Both of them are straight forward, and can be repalced by more powerful algorithm with limtied modification.
qiyuangong/Machine_Learning_in_Action
Machine_Learning_in_Action Python code
qiyuangong/Top_Down_Greedy_Anonymization
Top_Down_Greedy_Anonymization is a Top-down greedy algorithm data anonymization algorithm for relational dataset, proposed by Jian Xu in his papers.