k-anonymity

, An explanation of k-anonymity and the guarantees it can provide when used to anonymise data.

k-anonymity

, An explanation of k-anonymity and the guarantees it can provide when used to anonymise data.

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Weka(懷卡托環境知識分析)是一個流行的 Java 機器學習軟件套件。 Weka 是數據挖掘任務的機器學習算法的集合。這些算法可以直接應用到數據集中,也可以從您自己的 Java 代碼中調用.8999923 選擇版本:Weka 3.9.2(32 位)Weka 3.9.2(64 位) Weka 軟體介紹

k-anonymity 相關參考資料
A new technique ensuring privacy in big data: K-anonymity ...

Over the years, k-anonymity has been treated with great interest as an anonymization technique ensuring privacy in big data when we are dealing with quasi ...

https://www.sciencedirect.com

Google 如何匿名處理資料– 私隱權和條款– Google

https://policies.google.com

K - anonymity: An Introduction - Privitar

An explanation of k-anonymity and the guarantees it can provide when used to anonymise data.

https://www.privitar.com

k-anonymity - Data Privacy Lab

Consider a data holder, such as a hospital or a bank, that has a privately held collection of person-specific, field structured data. Suppose the data holder wants ...

https://dataprivacylab.org

k-anonymity - Wikipedia

k-anonymity is a property possessed by certain anonymized data. The concept of k-anonymity was first introduced by Latanya Sweeney and Pierangela ...

https://en.wikipedia.org

k-anonymity, the parent of all privacy definitions - Ted is ...

Definition of k-anonymity. What types of data are reidentifying? How to choose k? How to make a dataset k-anonymous? Building block 1: ...

https://desfontain.es

P-Sensitive K-Anonymity with Generalization Constraints

Abstract. Numerous privacy models based on the k-anonymity property and extending the k-anonymity model have been introduced in the last few years in data ...

http://www.tdp.cat

Protecting Privacy Using k-Anonymity - NCBI - NIH

Records 1 - 14 - The concern of k-anonymity is with the re-identification of a single individual in an anonymized data set. There are two re-identification scenarios ...

https://www.ncbi.nlm.nih.gov

What is k-anonymity? - Quora

k-anonymity is a property of a data set, usually used in order to describe the data set's level of anonymity. A dataset is k-anonymous if every ...

https://www.quora.com

使用K-anonymity 以視覺化的方式呈現重新識別風險 | Cloud ...

本主題將說明如何使用Cloud Data Loss Prevention (DLP) 測量資料集的k-anonymity,然後使用視覺化方式呈現在Google 數據分析中。如此一來, ...

https://cloud.google.com