About: Process mining: a two-step approach to balance between underfitting and overfitting

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article by Wil van der Aalst et al published 25 November 2008 in Software and Systems Modeling

Attributes	Values
rdf:type	Item
description	wetenschappelijk artikel (nl) article scientifique publié en 2008 (fr) наукова стаття, опублікована в листопаді 2008 (uk) im November 2008 veröffentlichter wissenschaftlicher Artikel (de) article by Wil van der Aalst et al published 25 November 2008 in Software and Systems Modeling (en)
publication date	wds:Q54957362-6356940B-62E5-45DE-A1EF-8B0E15018274
publication date	2008-11-25 00:00:00Z (xsd:dateTime)
exact match	wds:Q54957362-7CD61A09-5386-42F7-BF79-752EF2722F01
exact match	https://scigraph.springernature.com/pub.10.1007/s10270-008-0106-z
author name string	wds:Q54957362-2B14F956-CA64-4B53-8D43-C9D20C65C4E0 wds:Q54957362-D64E1F4D-EB98-416A-916D-3A1F243C7C31 wds:Q54957362-E9EE0514-A5D3-443C-8453-F39253DEB86D wds:Q54957362-FA6C991A-945D-4E38-B04A-FAE60E6DEB3C
author name string	B. F. van Dongen H. M. W. Verbeek C. W. Günther V. Rubin
rdfs:label	Process mining: a two-step approach to balance between underfitting and overfitting (en) Process mining: a two-step approach to balance between underfitting and overfitting (nl)
skos:prefLabel	Process mining: a two-step approach to balance between underfitting and overfitting (en) Process mining: a two-step approach to balance between underfitting and overfitting (nl)
name	Process mining: a two-step approach to balance between underfitting and overfitting (en) Process mining: a two-step approach to balance between underfitting and overfitting (nl)
author	wds:Q54957362-8F5C7FD5-9983-4820-AA2A-7F3F8642124B wds:Q54957362-af711c89-4ba6-3832-a83e-0a9b173f5e79
author	Wil van der Aalst Ekkart Kindler
title	wds:Q54957362-ACECEA44-4468-4184-B116-BAB3F201B0AF
title	Process mining: a two-step approach to balance between underfitting and overfitting (en)
page(s)	wds:Q54957362-3E36E661-3F62-445D-8A2C-7E4EDCFD6543
page(s)	87-111
instance of	wds:Q54957362-3D99F364-748E-4624-8351-0A4216BD8FB6
instance of	scholarly article
main subject	wds:Q54957362-48645C28-52ED-4FE5-A4D1-89AEAF08F9E0 wds:Q54957362-9eb5c37b-4b8c-e2f0-4a95-15492b7c5ef0 wds:Q54957362-BBA0BB8A-D407-4E18-A5BA-9908E6F7E397
main subject	process mining overfitting underfitting
DBLP publication ID	wds:Q54957362-41E6C151-6169-4FC8-9D62-B31E2237C9A6
DBLP publication ID	https://dblp.org/rec/journals/sosym/AalstRVDKG10
DBLP publication ID	journals/sosym/AalstRVDKG10
published in	wds:Q54957362-DF8DE6E7-77AE-409E-9841-09A9864F29BE
published in	Software and Systems Modeling
issue	wds:Q54957362-DCC58495-D8E3-4B9A-90CA-A655D20F0FE7
volume	wds:Q54957362-1D53E30A-7097-49F4-ABAF-1531A97ABD34
issue	1
volume	9
number of pages	wds:Q54957362-4617C54F-B265-4872-92B8-5D2AE8F9EFDA
number of pages	25 (xsd:decimal)
DOI	wds:Q54957362-BCE46122-1F33-43DA-8C8D-C19743C5834F
DOI	http://dx.doi.org/10.1007/S10270-008-0106-Z
DOI	10.1007/S10270-008-0106-Z
ResearchGate publication ID	wds:Q54957362-D9E7A18C-4796-476B-9802-2A9D569C7460
ResearchGate publication ID	226923150
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q54957362
is cites work of	Process Discovery Using Localized Events Measuring precision of modeled behavior Decomposing Petri nets for process mining: A generic approach Process Mining in the Large: A Tutorial On the Discovery of Declarative Control Flows for Artful Processes MailOfMine – Analyzing Mail Messages for Mining Artful Collaborative Processes Discovering and Exploring State-Based Models for Multi-perspective Processes The equivalency between logic Petri workflow nets and workflow nets Handling Duplicated Tasks in Process Discovery by Refining Event Labels Decomposed Process Mining: The ILP Case Towards Improving the Representational Bias of Process Mining Designing and Evaluating an Interpretable Predictive Modeling Technique for Business Processes Simplifying Mined Process Models: An Approach Based on Unfoldings Efficient Process Model Discovery Using Maximal Pattern Mining Discovery of Frequent Episodes in Event Logs Process mining using BPMN: relating event logs and process models Process Model Discovery: A Method Based on Transition System Decomposition Big software on the run: in vivo software analytics based on process mining (keynote) Discovering Duplicate Tasks in Transition Systems for the Simplification of Process Models
is cites work of	wds:Q57004749-568EDBAE-6DDD-46EE-8BE2-4B8A8615A518 wds:Q57004828-ABC73427-E9B1-4474-B7DE-DAF1E0D7BF5D wds:Q58476610-81D77466-33BB-4E4D-AAF1-A21D555C9897 wds:Q58476624-1C65AB43-8CDB-415D-ADB7-365F448A1AA7 wds:Q57004598-B7B96EC8-8775-45E0-B8A6-A58DBA2B1271 wds:Q59121137-8EF80EFB-7F21-46DE-A7CC-2078B62FE17E wds:Q57004622-EC8F861C-443F-4EDA-B1AD-D637A432637D wds:Q57004716-25800165-6736-48AD-BCC7-02C27E5B2E05 wds:Q57004916-DA3203A7-262A-495E-A3C5-501D0235047E wds:Q58479863-AA5F668E-D530-40ED-8E00-322DB0CC3555 wds:Q57005243-1CBED8F1-7215-46C5-A8C5-5C1172B6F001 wds:Q57693575-9C5BA699-EED8-45AB-BC03-CE3DE957CE52 wds:Q57004721-BB04773D-1F1D-4456-8834-586B44F34F1A wds:Q57004760-9535EE29-8ED5-47BD-B162-E8ACD6B58B2C wds:Q57005134-37FB388B-4BF2-4155-BB95-50F2B9FAF6FF wds:Q57004681-B7BBFD11-6DAF-470C-B0E7-3D4771B23F99 wds:Q57004846-65FCE9FA-7A72-47F6-9CC3-584F117B0320 wds:Q56891684-B66CD9D9-EBC4-47A5-96C4-344C4E784763 wds:Q57004842-4C074443-70AA-49C1-9151-8E6A2DF3CB03

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