TECHNOLOGIES FOR MINING TEMPORAL PATTERNS IN BIG DATA

TECHNOLOGIES FOR MINING TEMPORAL PATTERNS IN BIG DATA

Concepts and technologies are described herein providing technologies for mining patterns in temporal data streams. Data is broken into data sub-portions. Dependencies in computation between one or more of the data sub-portions are broken using symbolic data types. Symbolic summaries of computations...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Mytkowicz Todd D, Raychev Veselin, Musuvathi Madanlal
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Concepts and technologies are described herein providing technologies for mining patterns in temporal data streams. Data is broken into data sub-portions. Dependencies in computation between one or more of the data sub-portions are broken using symbolic data types. Symbolic summaries of computations of sub-portions are performed in parallel and are reduced to generate an output.