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Accelerating Queries over Unstructured Data with ML
Daniel Kang
Electrical and Computer Engineering
Siebel School of Computing and Data Science
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peer-review
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Dive into the research topics of 'Accelerating Queries over Unstructured Data with ML'. Together they form a unique fingerprint.
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Keyphrases
Machine Learning
100%
Unstructured Data
100%
Oracle
50%
Query Algorithm
50%
Proxy Model
50%
Query Result
25%
Statistical Guarantees
25%
Large Data Volumes
25%
Ecologists
25%
Score Thresholds
25%
Hummingbirds
25%
Deep Neural Network
25%
Labeler
25%
Human Annotator
25%
Computer Science
Machine Learning
100%
Unstructured Data
100%
Processing Algorithm
50%
Query Processing
50%
Approximation (Algorithm)
25%
Answering Query
25%
Deep Neural Network
25%
Structured Information
25%