Measuring the interestingness of temporal logic behavioral specifications in process mining

Cecconi, Alessio; De Giacomo, Giuseppe; Di Ciccio, Claudio; Maggi, Fabrizio Maria; Mendling, Jan

doi:10.1016/j.is.2021.101920

Record: found
Abstract: found
Article: found

Is Open Access

Measuring the interestingness of temporal logic behavioral specifications in process mining

Author(s): Alessio Cecconi , Giuseppe De Giacomo , Claudio Di Ciccio , Fabrizio Maria Maggi , Jan Mendling

Publication date Created: July 2022

Publication date (Print): July 2022

Journal: Information Systems

Publisher: Elsevier BV

Read this article at

ScienceOpen Publisher

Bookmark

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Related collections

Most cited references 63

Record: found
Abstract: not found
Article: not found

On the Methods of Measuring Association Between Two Attributes

G. YULE (1912)

0 comments Cited 112 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Interestingness measures for data mining

Liqiang Geng, Howard J. Hamilton (2006)

0 comments Cited 58 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: not found
Article: not found

Selecting the right objective measure for association analysis

Jaideep Srivastava, Vipin Kumar, Pang-Ning Tan (2004)

0 comments Cited 56 times – based on 0 reviews      Review now

Bookmark

All references

Author and article information

Contributors

Alessio Cecconi: (View ORCID Profile)

Giuseppe De Giacomo: (View ORCID Profile)

Claudio Di Ciccio: (View ORCID Profile)

Jan Mendling: (View ORCID Profile)

Journal

Title: Information Systems

Abbreviated Title: Information Systems

Publisher: Elsevier BV

ISSN (Print): 03064379

Publication date Created: July 2022

Publication date (Print): July 2022

Volume: 107

Page: 101920

Article

DOI: 10.1016/j.is.2021.101920

SO-VID: 4ad7ade3-f449-4f10-bf3e-7a96f6180211

License:

https://www.elsevier.com/tdm/userlicense/1.0/

http://creativecommons.org/licenses/by/4.0/

History

Data availability:

Comments

Comment on this article

scite_

Smart Citations

Citing PublicationsSupportingMentioningContrasting

View Citations

See how this article has been cited at scite.ai

scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.