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Secure and private management of healthcare databases for data mining
Noman Mohammed
, Samira Barouti
, Dima Alhadidi
, Rui Chen
Research output
:
Chapter in book/report/conference proceeding
›
Conference proceeding
›
peer-review
20
Citations (Scopus)
Overview
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Dive into the research topics of 'Secure and private management of healthcare databases for data mining'. Together they form a unique fingerprint.
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Keyphrases
Outsourced Database
100%
Healthcare Database
100%
Secure Management
100%
Private Management
100%
Security Issues
50%
Complex Data
50%
Privacy Concerns
50%
Query Interface
50%
Security Privacy
50%
Data Mining Tasks
50%
Private Query
50%
Encryption Scheme
50%
Low Overhead
50%
Medical Data
50%
Differentially Private
50%
Individual Privacy
50%
Query Data
50%
SQL Query
50%
Data Management Framework
50%
Private Data
50%
Semantically Secure
50%
Secure Data
50%
Electronic Health Record System
50%
Health Data Collection
50%
Data Security
50%
Secure Encryption
50%
Computer Science
Data Management
100%
Collected Data
100%
Data Mining
100%
Data Sharing
100%
Data Mining Task
100%
Security and Privacy
100%
Encryption Scheme
100%
Individual Privacy
100%
Electronic Medical Record
100%
Encrypted Data
100%
Management Framework
100%
Structured Query Language
100%