Mining Process Variants: Goals and Issues

Chen Li; Manfred Reichert; Andreas Wombacher

doi:10.1109/SCC.2008.103

Mining Process Variants: Goals and Issues

Chen Li, Manfred Reichert, Andreas Wombacher

Databases (Former)

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

20 Citations (Scopus)

101 Downloads (Pure)

Abstract

Recently, Process-Aware Information Systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model variants, which are difficult to maintain and expensive to configure. This paper deals with goals and issues related to the mining of process model variants. Our overall goal is to learn from process changes and to "merge" the resulting model variants into a generic process model in the best possible way. By adopting this generic process model in the PAIS, future cost of process change and need for process adaptations will decrease.

Original language	English
Title of host publication	IEEE International Conference on Services Computing, 2008 (SCC '08)
Place of Publication	Los Alamitos, CA
Publisher	IEEE
Pages	573-576
Number of pages	4
ISBN (Print)	978-0-7695-3283-7
DOIs	https://doi.org/10.1109/SCC.2008.103
Publication status	Published - Jul 2008
Event	IEEE 5th International Conference on Services Computing, SCC 2008 - Honolulu, United States Duration: 8 Jul 2008 → 11 Jul 2008 Conference number: 5

Publication series

Name	IEEE International Conference on Services Computing
Publisher	IEEE Computer Society
Volume	2008

Conference

Conference	IEEE 5th International Conference on Services Computing, SCC 2008
Abbreviated title	SCC
Country/Territory	United States
City	Honolulu
Period	8/07/08 → 11/07/08

Keywords

SCS-Services
CR-H

Access to Document

10.1109/SCC.2008.103

LiC-VariantMining

Cite this

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title = "Mining Process Variants: Goals and Issues",

abstract = "Recently, Process-Aware Information Systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model variants, which are difficult to maintain and expensive to configure. This paper deals with goals and issues related to the mining of process model variants. Our overall goal is to learn from process changes and to {"}merge{"} the resulting model variants into a generic process model in the best possible way. By adopting this generic process model in the PAIS, future cost of process change and need for process adaptations will decrease.",

keywords = "SCS-Services, CR-H",

author = "Chen Li and Manfred Reichert and Andreas Wombacher",

year = "2008",

month = jul,

doi = "10.1109/SCC.2008.103",

language = "English",

isbn = "978-0-7695-3283-7",

series = "IEEE International Conference on Services Computing",

publisher = "IEEE",

pages = "573--576",

booktitle = "IEEE International Conference on Services Computing, 2008 (SCC '08)",

address = "United States",

note = "IEEE 5th International Conference on Services Computing, SCC 2008, SCC ; Conference date: 08-07-2008 Through 11-07-2008",

}

Li, C, Reichert, M & Wombacher, A 2008, Mining Process Variants: Goals and Issues. in IEEE International Conference on Services Computing, 2008 (SCC '08). IEEE International Conference on Services Computing, vol. 2008, IEEE, Los Alamitos, CA, pp. 573-576, IEEE 5th International Conference on Services Computing, SCC 2008, Honolulu, Hawaii, United States, 8/07/08. https://doi.org/10.1109/SCC.2008.103

Mining Process Variants: Goals and Issues. / Li, Chen; Reichert, Manfred; Wombacher, Andreas.
IEEE International Conference on Services Computing, 2008 (SCC '08). Los Alamitos, CA: IEEE, 2008. p. 573-576 (IEEE International Conference on Services Computing; Vol. 2008).

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

TY - GEN

T1 - Mining Process Variants

T2 - IEEE 5th International Conference on Services Computing, SCC 2008

AU - Li, Chen

AU - Reichert, Manfred

AU - Wombacher, Andreas

N1 - Conference code: 5

PY - 2008/7

Y1 - 2008/7

N2 - Recently, Process-Aware Information Systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model variants, which are difficult to maintain and expensive to configure. This paper deals with goals and issues related to the mining of process model variants. Our overall goal is to learn from process changes and to "merge" the resulting model variants into a generic process model in the best possible way. By adopting this generic process model in the PAIS, future cost of process change and need for process adaptations will decrease.

AB - Recently, Process-Aware Information Systems (PAIS) were introduced, which allow for dynamic process and service changes. This, in turn, has led to a large number of process model variants, which are difficult to maintain and expensive to configure. This paper deals with goals and issues related to the mining of process model variants. Our overall goal is to learn from process changes and to "merge" the resulting model variants into a generic process model in the best possible way. By adopting this generic process model in the PAIS, future cost of process change and need for process adaptations will decrease.

KW - SCS-Services

KW - CR-H

U2 - 10.1109/SCC.2008.103

DO - 10.1109/SCC.2008.103

M3 - Conference contribution

SN - 978-0-7695-3283-7

T3 - IEEE International Conference on Services Computing

SP - 573

EP - 576

BT - IEEE International Conference on Services Computing, 2008 (SCC '08)

PB - IEEE

CY - Los Alamitos, CA

Y2 - 8 July 2008 through 11 July 2008

ER -

Mining Process Variants: Goals and Issues

Abstract

Publication series

Conference

Keywords

Access to Document

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