Device and Method for Generating Cardinality Prediction Model for Approximate Substring Query

Device and Method for Generating Cardinality Prediction Model for Approximate Substring Query

The present disclosure relates to a deep learning model for cardinality prediction and, more specifically, to a method for generating and training a model for predicting a cardinality for a similarity query in consideration of a substring condition based on an edit distance.

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Bibliographische Detailangaben
Hauptverfasser: Kwon, Suyong, Shim, Kyuseok, Jung, Woohwan
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:The present disclosure relates to a deep learning model for cardinality prediction and, more specifically, to a method for generating and training a model for predicting a cardinality for a similarity query in consideration of a substring condition based on an edit distance.