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Trust-but-Verify: Verifying Result Correctness of Outsourced Frequent Itemset Mining in Data-Mining-As-a-Service Paradigm
Boxiang Dong
, Ruilin Liu, Hui Wang
Computer Science
Research output
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Contribution to journal
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Article
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peer-review
19
Scopus citations
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Dive into the research topics of 'Trust-but-Verify: Verifying Result Correctness of Outsourced Frequent Itemset Mining in Data-Mining-As-a-Service Paradigm'. Together they form a unique fingerprint.
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Keyphrases
Service Provider
100%
As-a-service
100%
Frequent Pattern Mining
100%
Result Correctness
100%
Trust but Verify
100%
Third-party Providers
33%
Cloud Computing
33%
Outsourced Data
33%
Verification Method
33%
Verification Approaches
33%
Untrusted
33%
High Probability
33%
Specific Task
33%
Computing Paradigm
33%
Computational Power
33%
Security Issues
33%
Frequent Itemsets
33%
Deterministic Approach
33%
Probabilistic Approach
33%
Efficient Verification
33%
Computer Science
Data Mining
100%
Frequent Itemsets
100%
Party Service Provider
33%
Outsourced Data
33%
computing paradigm
33%
Computational Power
33%
Deterministic Approach
33%
Probabilistic Approach
33%
Cloud Computing
33%