Multi-paradigm process mining: Retrieving better models by combining rules and sequences

Johannes De Smedt; Jochen De Weerdt; Jan Vanthienen

Multi-paradigm process mining: Retrieving better models by combining rules and sequences

Johannes De Smedt^*, Jochen De Weerdt, Jan Vanthienen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract / Description of output

Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows. The discovery and representation of these models is based on techniques that come in all shapes and forms. Most notably, procedurally-based algorithms such as Heuristics Miner have been used successfully for this purpose. Also, declarative process model miners have been proposed, which give other insights into the model by generating rules that apply on the activities. This paper proposes an integrated approach to combining these paradigms to discover process models that contain best of both worlds to enrich insights into the event logs under scrutiny.

Original language	English
Title of host publication	On the Move to Meaningful Internet Systems
Subtitle of host publication	OTM 2014 Conferences
Editors	R Meersman, H Panetto, T Dillon, M Missikoff, L Liu, O Pastor, A Cuzzocrea, T Sellis
Publisher	Springer
Pages	446-453
Number of pages	8
ISBN (Print)	978-3-662-45562-3
Publication status	Published - 2014
Event	On The Move (OTM) Event - Amantea, Italy Duration: 27 Oct 2014 → 31 Oct 2014

Publication series

Name	Lecture Notes in Computer Science
Publisher	SPRINGER-VERLAG BERLIN
Volume	8841
ISSN (Print)	0302-9743

Conference

Conference	On The Move (OTM) Event
Country/Territory	Italy
Period	27/10/14 → 31/10/14

Keywords / Materials (for Non-textual outputs)

business process mining
mixed-paradigm mining
causal nets
declare

Cite this

De Smedt, J., De Weerdt, J., & Vanthienen, J. (2014). Multi-paradigm process mining: Retrieving better models by combining rules and sequences. In R. Meersman, H. Panetto, T. Dillon, M. Missikoff, L. Liu, O. Pastor, A. Cuzzocrea, & T. Sellis (Eds.), On the Move to Meaningful Internet Systems: OTM 2014 Conferences (pp. 446-453). (Lecture Notes in Computer Science; Vol. 8841). Springer.

De Smedt, Johannes ; De Weerdt, Jochen ; Vanthienen, Jan. / Multi-paradigm process mining : Retrieving better models by combining rules and sequences. On the Move to Meaningful Internet Systems: OTM 2014 Conferences. editor / R Meersman ; H Panetto ; T Dillon ; M Missikoff ; L Liu ; O Pastor ; A Cuzzocrea ; T Sellis. Springer, 2014. pp. 446-453 (Lecture Notes in Computer Science).

@inproceedings{f72eeacccfe14d40afa4919356971500,

title = "Multi-paradigm process mining: Retrieving better models by combining rules and sequences",

abstract = "Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows. The discovery and representation of these models is based on techniques that come in all shapes and forms. Most notably, procedurally-based algorithms such as Heuristics Miner have been used successfully for this purpose. Also, declarative process model miners have been proposed, which give other insights into the model by generating rules that apply on the activities. This paper proposes an integrated approach to combining these paradigms to discover process models that contain best of both worlds to enrich insights into the event logs under scrutiny.",

keywords = "business process mining, mixed-paradigm mining, causal nets, declare",

author = "{De Smedt}, Johannes and {De Weerdt}, Jochen and Jan Vanthienen",

year = "2014",

language = "English",

isbn = "978-3-662-45562-3",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "446--453",

editor = "R Meersman and H Panetto and T Dillon and M Missikoff and L Liu and O Pastor and A Cuzzocrea and T Sellis",

booktitle = "On the Move to Meaningful Internet Systems",

address = "United Kingdom",

note = "On The Move (OTM) Event ; Conference date: 27-10-2014 Through 31-10-2014",

}

De Smedt, J, De Weerdt, J & Vanthienen, J 2014, Multi-paradigm process mining: Retrieving better models by combining rules and sequences. in R Meersman, H Panetto, T Dillon, M Missikoff, L Liu, O Pastor, A Cuzzocrea & T Sellis (eds), On the Move to Meaningful Internet Systems: OTM 2014 Conferences. Lecture Notes in Computer Science, vol. 8841, Springer, pp. 446-453, On The Move (OTM) Event, Italy, 27/10/14.

Multi-paradigm process mining: Retrieving better models by combining rules and sequences. / De Smedt, Johannes; De Weerdt, Jochen; Vanthienen, Jan.
On the Move to Meaningful Internet Systems: OTM 2014 Conferences. ed. / R Meersman; H Panetto; T Dillon; M Missikoff; L Liu; O Pastor; A Cuzzocrea; T Sellis. Springer, 2014. p. 446-453 (Lecture Notes in Computer Science; Vol. 8841).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Multi-paradigm process mining

T2 - On The Move (OTM) Event

AU - De Smedt, Johannes

AU - De Weerdt, Jochen

AU - Vanthienen, Jan

PY - 2014

Y1 - 2014

N2 - Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows. The discovery and representation of these models is based on techniques that come in all shapes and forms. Most notably, procedurally-based algorithms such as Heuristics Miner have been used successfully for this purpose. Also, declarative process model miners have been proposed, which give other insights into the model by generating rules that apply on the activities. This paper proposes an integrated approach to combining these paradigms to discover process models that contain best of both worlds to enrich insights into the event logs under scrutiny.

AB - Business process mining is a well-established field of research which focuses on the automatic retrieval and analysis of process flows. The discovery and representation of these models is based on techniques that come in all shapes and forms. Most notably, procedurally-based algorithms such as Heuristics Miner have been used successfully for this purpose. Also, declarative process model miners have been proposed, which give other insights into the model by generating rules that apply on the activities. This paper proposes an integrated approach to combining these paradigms to discover process models that contain best of both worlds to enrich insights into the event logs under scrutiny.

KW - business process mining

KW - mixed-paradigm mining

KW - causal nets

KW - declare

M3 - Conference contribution

SN - 978-3-662-45562-3

T3 - Lecture Notes in Computer Science

SP - 446

EP - 453

BT - On the Move to Meaningful Internet Systems

A2 - Meersman, R

A2 - Panetto, H

A2 - Dillon, T

A2 - Missikoff, M

A2 - Liu, L

A2 - Pastor, O

A2 - Cuzzocrea, A

A2 - Sellis, T

PB - Springer

Y2 - 27 October 2014 through 31 October 2014

ER -

Multi-paradigm process mining: Retrieving better models by combining rules and sequences

Abstract / Description of output

Publication series

Conference

Keywords / Materials (for Non-textual outputs)

Fingerprint

Cite this