Amanote Research

Amanote Research

    RegisterSign In

Data Anonymization That Leads to the Most Accurate Estimates of Statistical Characteristics

doi 10.1109/cies.2013.6611744
Full Text
Open PDF
Abstract

Available in full text

Date

April 1, 2013

Authors
Gang XiangVladik Kreinovich
Publisher

IEEE


Related search

Spectral Image Analysis: Getting the Most From All That Data

Microscopy and Microanalysis
Instrumentation
2002English

Estimates of the Characteristics of Cloud Wall of the Typhoon Eye According to ASCAT Scatterometers Data

Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa
Computer NetworksComputer Science ApplicationsComputers in Earth SciencesCommunications
2018English

Query Processing in Private Data Outsourcing Using Anonymization

Qatar Foundation Annual Research Forum Proceedings
2011English

Statistical Analysis of the Most Influential Cryptocurrencies

SSRN Electronic Journal
2019English

The Effect of Homogeneity on the Computational Complexity of Combinatorial Data Anonymization

Data Mining and Knowledge Discovery
Computer NetworksComputer Science ApplicationsInformation SystemsCommunications
2012English

Geographic Partitioning Techniques for the Anonymization of Health Care Data

English

Injector: Mining Background Knowledge for Data Anonymization

2008English

Statistical Estimates of PMP Values

Nordic Hydrology
Water ScienceTechnology
1994English

That Most Canadian of Virtues

Western Journal of Legal Studies
2020English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2026 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy