Everything you always wanted to know about your process, but did not know how to ask

E.G.L. de Murillas; H.A. Reijers; W.M.P. van der Aalst

doi:10.1007/978-3-319-58457-7_22

Everything you always wanted to know about your process, but did not know how to ask

E.G.L. de Murillas, H.A. Reijers, W.M.P. van der Aalst

Process Analytics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

10 Citations (Scopus)

1 Downloads (Pure)

Abstract

The size of execution data available for process mining analysis grows several orders of magnitude every couple of years. Extracting and selecting the relevant data to be analyzed on each case represents an open challenge in the field. This paper presents a systematic literature review on different approaches to query process data and establish their provenance. In addition, a new query language is proposed, which overcomes the limitations identified during the review. The proposal is based on a com-bination of data and process perspectives. It provides simple constructs to intuitively formulate questions. An implementation of the language is provided, together with examples of queries to be applied on different aspects of the process analysis.

Original language	English
Title of host publication	Business Process Management Workshops
Editors	Marcelo Fantinato, Marlon Dumas
Publisher	Springer
Pages	296-309
Number of pages	14
ISBN (Print)	9783319584560
DOIs	https://doi.org/10.1007/978-3-319-58457-7_22
Publication status	Published - 2017
Event	14th International Conference on Business Process Management (BPM 2016) - Rio de Janeiro, Brazil Duration: 18 Sept 2016 → 22 Sept 2016 Conference number: 14 http://bpm2016.uniriotec.br/

Publication series

Name	Lecture Notes in Business Information Processing
Volume	281
ISSN (Print)	1865-1348

Conference

Conference	14th International Conference on Business Process Management (BPM 2016)
Abbreviated title	BPM 2016
Country/Territory	Brazil
City	Rio de Janeiro
Period	18/09/16 → 22/09/16
Other	2016 BPM Demo Track, BPMD 2016, co-located with the 14th International Conference on Business Process Management, BPM 2016
Internet address	http://bpm2016.uniriotec.br/

Keywords

Databases
Event logs
Process mining
Query languages

Access to Document

10.1007/978-3-319-58457-7_22

http://www.mendeley.com/research/everything-always-wanted-know-about-process-not-know-ask

Cite this

@inbook{2e8b0ae201754df98e04c129d6f2d5fc,

title = "Everything you always wanted to know about your process, but did not know how to ask",

abstract = "The size of execution data available for process mining analysis grows several orders of magnitude every couple of years. Extracting and selecting the relevant data to be analyzed on each case represents an open challenge in the field. This paper presents a systematic literature review on different approaches to query process data and establish their provenance. In addition, a new query language is proposed, which overcomes the limitations identified during the review. The proposal is based on a com-bination of data and process perspectives. It provides simple constructs to intuitively formulate questions. An implementation of the language is provided, together with examples of queries to be applied on different aspects of the process analysis.",

keywords = "Databases, Event logs, Process mining, Query languages",

author = "{de Murillas}, E.G.L. and H.A. Reijers and {van der Aalst}, W.M.P.",

year = "2017",

doi = "10.1007/978-3-319-58457-7_22",

language = "English",

isbn = "9783319584560",

series = "Lecture Notes in Business Information Processing",

publisher = "Springer",

pages = "296--309",

editor = "Marcelo Fantinato and Marlon Dumas",

booktitle = "Business Process Management Workshops",

address = "Germany",

note = "14th International Conference on Business Process Management (BPM 2016), BPM 2016 ; Conference date: 18-09-2016 Through 22-09-2016",

url = "http://bpm2016.uniriotec.br/",

}

de Murillas, EGL, Reijers, HA & van der Aalst, WMP 2017, Everything you always wanted to know about your process, but did not know how to ask. in M Fantinato & M Dumas (eds), Business Process Management Workshops. Lecture Notes in Business Information Processing, vol. 281, Springer, pp. 296-309, 14th International Conference on Business Process Management (BPM 2016), Rio de Janeiro, Brazil, 18/09/16. https://doi.org/10.1007/978-3-319-58457-7_22

Everything you always wanted to know about your process, but did not know how to ask. / de Murillas, E.G.L.; Reijers, H.A.; van der Aalst, W.M.P.
Business Process Management Workshops. ed. / Marcelo Fantinato; Marlon Dumas. Springer, 2017. p. 296-309 (Lecture Notes in Business Information Processing; Vol. 281).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review

TY - CHAP

T1 - Everything you always wanted to know about your process, but did not know how to ask

AU - de Murillas, E.G.L.

AU - Reijers, H.A.

AU - van der Aalst, W.M.P.

N1 - Conference code: 14

PY - 2017

Y1 - 2017

N2 - The size of execution data available for process mining analysis grows several orders of magnitude every couple of years. Extracting and selecting the relevant data to be analyzed on each case represents an open challenge in the field. This paper presents a systematic literature review on different approaches to query process data and establish their provenance. In addition, a new query language is proposed, which overcomes the limitations identified during the review. The proposal is based on a com-bination of data and process perspectives. It provides simple constructs to intuitively formulate questions. An implementation of the language is provided, together with examples of queries to be applied on different aspects of the process analysis.

AB - The size of execution data available for process mining analysis grows several orders of magnitude every couple of years. Extracting and selecting the relevant data to be analyzed on each case represents an open challenge in the field. This paper presents a systematic literature review on different approaches to query process data and establish their provenance. In addition, a new query language is proposed, which overcomes the limitations identified during the review. The proposal is based on a com-bination of data and process perspectives. It provides simple constructs to intuitively formulate questions. An implementation of the language is provided, together with examples of queries to be applied on different aspects of the process analysis.

KW - Databases

KW - Event logs

KW - Process mining

KW - Query languages

UR - http://www.scopus.com/inward/record.url?scp=85019204222&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-58457-7_22

DO - 10.1007/978-3-319-58457-7_22

M3 - Chapter

SN - 9783319584560

T3 - Lecture Notes in Business Information Processing

SP - 296

EP - 309

BT - Business Process Management Workshops

A2 - Fantinato, Marcelo

A2 - Dumas, Marlon

PB - Springer

T2 - 14th International Conference on Business Process Management (BPM 2016)

Y2 - 18 September 2016 through 22 September 2016

ER -

Everything you always wanted to know about your process, but did not know how to ask

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this