Skip to main navigation
Skip to search
Skip to main content
Montclair State University Home
Help & FAQ
Home
Profiles
Research units
Core Facilities
Grants/Projects
Research output
Prizes
Press/Media
Search by expertise, name or affiliation
Authenticated Outlier Mining for Outsourced Databases
Boxiang Dong
, Hui Wang
, Anna Monreale
, Dino Pedreschi
, Fosca Giannotti
, Wenge Guo
Computer Science
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Authenticated Outlier Mining for Outsourced Databases'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Artificial Outlier
100%
Artificial Records
66%
As-a-service
33%
Authenticated Data Structures
33%
Communication Cost
33%
Computational Resources
33%
Data Owner
33%
Nash Equilibrium
33%
Novel Solutions
33%
Outlier Mining
100%
Outlierness
33%
Outsourced Database
100%
Probabilistic Guarantee
33%
Result Integrity
66%
Service Provider
66%
Strategic Games
33%
Third-party Providers
33%
Verification Cost
33%
Verification Method
33%
Computer Science
Authentication
50%
Communication Cost
50%
Computational Resource
50%
Data Mining
50%
Data Structure
50%
Nash Equilibrium
50%
Party Service Provider
50%
Service Provider
100%