Research Article
Equation Chapter 1 Section 1 Differentially Private High-Dimensional Binary Data Publication via Adaptive Bayesian Network
Input: data set , attribute set , maximum in-degree | Output: synthetic data set | 1: Initialize ; | 2: Randomly select an attribute from the attribute set as , add to, and add to the vertex set ; | 3: for to do | 4: Initialize collection ; | 5: For each and , add to ; | 6: Select with the largest mutual information from and join , add to ; | 7: end for | 8: return . |
|