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Enabling efficient process mining on large data sets: realizing an in-database process mining operator.

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Title: Enabling efficient process mining on large data sets: realizing an in-database process mining operator.
Authors: Dijkman, Remco1, r.m.dijkman@tue.nl, Gao, Juntao2, Syamsiyah, Alifah1, van Dongen, Boudewijn1, Grefen, Paul1, ter Hofstede, Arthur3
Source: Distributed & Parallel Databases; Mar2020, Vol. 38 Issue 1, p227-253, 27p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 141807704
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Distributed+%26+Parallel+Databases%22">Distributed & Parallel Databases</searchLink>; Mar2020, Vol. 38 Issue 1, p227-253, 27p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=141807704
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        Value: 10.1007/s10619-019-07270-1
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      – Code: eng
        Text: English
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      – TitleFull: Enabling efficient process mining on large data sets: realizing an in-database process mining operator.
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              Text: Mar2020
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              Y: 2020
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