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Machine-generated data

Machine-generated data is information automatically generated by a computer process, application, or other mechanism without the active intervention of a human. While the term dates back over fifty years, there is some current indecision as to the scope of the term. Monash Research's Curt Monash defines it as "data that was produced entirely by machines…

Growth, Examples & Relevance

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Map overview Semantic statistics

Machine-generated data

Nodes26
Edges25
Triples19
Avg. degree1.92
Density0.076923
Components1

How this topic connects Entity context

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Machine-generated data

Top relations

related to Relevance · 7
Machine-generated data → Internet, IoT, Machine-generated, Machines, Partly, Since, Things
related to Growth · 6
Machine-generated data → Gartner, IDC, In, Industrial Internet, Most, Wikibon
related to Processing · 5
Machine-generated data → Almost, Alternative, Given, Typically, With
is a · 1
Machine-generated data → lifeblood of the Internet of Things

Important terminology Word statistics

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Important terminology

data machine-generated event generated human humans dataset information process years machines action often growth processing application yale particular systems highly

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Machine-generated datais alifeblood of the Internet of Things0.90text
Machine-generated datarelated to GrowthIn0.60section
Machine-generated datarelated to GrowthGartner0.60section
Machine-generated datarelated to GrowthMost0.60section
Machine-generated datarelated to GrowthIDC0.60section
Machine-generated datarelated to GrowthWikibon0.60section
Machine-generated datarelated to GrowthIndustrial Internet0.60section
Machine-generated datarelated to ProcessingGiven0.60section
Machine-generated datarelated to ProcessingAlmost0.60section
Machine-generated datarelated to ProcessingTypically0.60section
Machine-generated datarelated to ProcessingWith0.60section
Machine-generated datarelated to ProcessingAlternative0.60section

Related concept clusters Concept neighborhoods

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    Connections between topic areas Semantic bridges

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    Min side: 3
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