Amanote Research

Amanote Research

    RegisterSign In

A Differentially Private Estimator for the Stochastic Kronecker Graph Model

doi 10.1145/2320765.2320818
Full Text
Open PDF
Abstract

Available in full text

Date

January 1, 2012

Authors
Darakhshan MirRebecca N. Wright
Publisher

ACM Press


Related search

Sharing Social Networks Using a Novel Differentially Private Graph Model

2019English

Moment-Based Estimation of Stochastic Kronecker Graph Parameters

Internet Mathematics
Computational MathematicsApplied MathematicsSimulationModeling
2012English

Estimator for Stochastic Channel Model Without Multipath Extraction Using Temporal Moments

2019English

Understanding Hierarchical Methods for Differentially Private Histograms

Proceedings of the VLDB Endowment
Computer Science
2013English

On the Stochastic Restricted Liu-Type Maximum Likelihood Estimator in Logistic Regression Model

Communications Faculty Of Science University of Ankara Series A1Mathematics and Statistics
2018English

Differentially Private Data Release for Data Mining

2011English

Realistic, Mathematically Tractable Graph Generation and Evolution, Using Kronecker Multiplication

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
2005English

On Differentially Private Frequent Itemset Mining

Proceedings of the VLDB Endowment
Computer Science
2012English

Differentially Private Release of Synthetic Graphs

2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy