Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain

Kingsley Okoye; Abdel Rahman H. Tawil; Usman Naeem; Syed Islam; Elyes Lamine

doi:10.1007/978-3-319-60618-7_61

Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain

Kingsley Okoye^*, Abdel Rahman H. Tawil, Usman Naeem, Syed Islam, Elyes Lamine

^*Corresponding author for this work

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

8 Citations (SciVal)

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016
Editors	Ana Maria Madureira, Aswani Kumar Cherukuri, Ajith Abraham, Azah Kamilah Muda
Publisher	Springer Verlag
Pages	622-633
Number of pages	12
ISBN (Print)	9783319606170
DOIs	https://doi.org/10.1007/978-3-319-60618-7_61
Publication status	Published (VoR) - 2018
Event	8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016 - Vellore, India Duration: 19 Dec 2016 → 21 Dec 2016

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	614
ISSN (Print)	2194-5357

Conference

Conference	8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016
Country/Territory	India
City	Vellore
Period	19/12/16 → 21/12/16

Keywords

Event logs
Knowledge discovery
Learning process
Ontology
Process mining
Semantic annotation

Access to Document

10.1007/978-3-319-60618-7_61

Cite this

Okoye, K., Tawil, A. R. H., Naeem, U., Islam, S., & Lamine, E. (2018). Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain. In A. M. Madureira, A. K. Cherukuri, A. Abraham, & A. K. Muda (Eds.), Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016 (pp. 622-633). (Advances in Intelligent Systems and Computing; Vol. 614). Springer Verlag. https://doi.org/10.1007/978-3-319-60618-7_61

Okoye, Kingsley ; Tawil, Abdel Rahman H. ; Naeem, Usman et al. / Semantic-based model analysis towards enhancing information values of process mining : Case study of learning process domain. Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016. editor / Ana Maria Madureira ; Aswani Kumar Cherukuri ; Ajith Abraham ; Azah Kamilah Muda. Springer Verlag, 2018. pp. 622-633 (Advances in Intelligent Systems and Computing).

@inproceedings{66e19da9ba9344ea8797fc37ea62e16c,

title = "Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain",

keywords = "Event logs, Knowledge discovery, Learning process, Ontology, Process mining, Semantic annotation",

author = "Kingsley Okoye and Tawil, {Abdel Rahman H.} and Usman Naeem and Syed Islam and Elyes Lamine",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2018.; 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016 ; Conference date: 19-12-2016 Through 21-12-2016",

year = "2018",

doi = "10.1007/978-3-319-60618-7_61",

language = "English",

isbn = "9783319606170",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "622--633",

editor = "Madureira, {Ana Maria} and Cherukuri, {Aswani Kumar} and Ajith Abraham and Muda, {Azah Kamilah}",

booktitle = "Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016",

}

Okoye, K, Tawil, ARH, Naeem, U, Islam, S & Lamine, E 2018, Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain. in AM Madureira, AK Cherukuri, A Abraham & AK Muda (eds), Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016. Advances in Intelligent Systems and Computing, vol. 614, Springer Verlag, pp. 622-633, 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016, Vellore, India, 19/12/16. https://doi.org/10.1007/978-3-319-60618-7_61

Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain. / Okoye, Kingsley; Tawil, Abdel Rahman H.; Naeem, Usman et al.
Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016. ed. / Ana Maria Madureira; Aswani Kumar Cherukuri; Ajith Abraham; Azah Kamilah Muda. Springer Verlag, 2018. p. 622-633 (Advances in Intelligent Systems and Computing; Vol. 614).

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

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T2 - 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016

AU - Okoye, Kingsley

AU - Tawil, Abdel Rahman H.

AU - Naeem, Usman

AU - Islam, Syed

AU - Lamine, Elyes

N1 - Publisher Copyright: © Springer International Publishing AG 2018.

PY - 2018

Y1 - 2018

KW - Event logs

KW - Knowledge discovery

KW - Learning process

KW - Ontology

KW - Process mining

KW - Semantic annotation

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DO - 10.1007/978-3-319-60618-7_61

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AN - SCOPUS:85028594873

SN - 9783319606170

T3 - Advances in Intelligent Systems and Computing

SP - 622

EP - 633

BT - Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016

A2 - Madureira, Ana Maria

A2 - Cherukuri, Aswani Kumar

A2 - Abraham, Ajith

A2 - Muda, Azah Kamilah

PB - Springer Verlag

Y2 - 19 December 2016 through 21 December 2016

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Okoye K, Tawil ARH, Naeem U, Islam S, Lamine E. Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain. In Madureira AM, Cherukuri AK, Abraham A, Muda AK, editors, Proceedings of the 8th International Conference on Soft Computing and Pattern Recognition, SoCPaR 2016. Springer Verlag. 2018. p. 622-633. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-319-60618-7_61

Semantic-based model analysis towards enhancing information values of process mining: Case study of learning process domain

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