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On the elicitation and annotation of business activities based on emails

Authors:

Diana Jlailaty,

Daniela Grigori,

Khalid BelhajjameAuthors Info & Claims

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

Pages 101 - 103

https://doi.org/10.1145/3297280.3297534

Published: 08 April 2019 Publication History

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Abstract

We describe an approach that is able to discover business process activities from emails. In addition, for each activity type, we extract metadata such as the roles of the people exchanging the email, type of the attached documents, or the domains of the mentioned links.

References

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Simon Corston-oliver, Eric Ringger, Michael Gamon, and Richard Campbell. Task-focused summarization of email. In IN PROCEEDINGS OF THE TEXT SUMMARIZATION BRANCHES OUT ACL WORKSHOP, 2004.

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[3]

Diana Jlailaty, Daniela Grigori, and Khalid Belhajjame. A framework for mining process models from emails logs. arXiv preprint arXiv:1609.06127, 2016.

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[4]

Diana Jlailaty, Daniela Grigori, and Khalid Belhajjame. Business process instances discovery from email logs. In Services Computing (SCC), 2017 IEEE International Conference on, pages 19--26. IEEE, 2017.

Crossref

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Diana Jlailaty, Daniela Grigori, and Khalid Belhajjame. Mining business process activities from email logs. In Cognitive Computing (ICCC), 2017 IEEE International Conference on, pages 112--119. IEEE, 2017.

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Steve Whittaker, Victoria Bellotti, and Jacek Gwizdka. Email and pim: Problems and possibilities. Communications in ACM, 2007.

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Cited By

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Khandaker FSenderovich AZhao JCohen EYu ECarbajales SChan A(2024)Transformer models for mining intents and predicting activities from emails in knowledge-intensive processesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107450128:COnline publication date: 14-Mar-2024
https://dl.acm.org/doi/10.1016/j.engappai.2023.107450
Elleuch MIsmaili OLaga NGaaloul W(2023)Process fragments discovery from emailsInformation Systems10.1016/j.is.2023.102229118:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.is.2023.102229
Khandaker FSenderovich AYu ECarbajales SChan A(2023)Transformer Models for Activity Mining in Knowledge-Intensive ProcessesBusiness Process Management Workshops10.1007/978-3-031-25383-6_2(13-24)Online publication date: 9-Feb-2023
https://doi.org/10.1007/978-3-031-25383-6_2
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On the elicitation and annotation of business activities based on emails

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Published In

SAC '19: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing

April 2019

2682 pages

ISBN:9781450359337

DOI:10.1145/3297280

Conference Chairs:
Chih-Cheng Hung
Kennesaw State University, Marietta, Georgia
,
George A. Papadopoulos
University of Cyprus, Nicosia, Cyprus

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 April 2019

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SAC '19

Sponsor:

SIGAPP

SAC '19: The 34th ACM/SIGAPP Symposium on Applied Computing

April 8 - 12, 2019

Limassol, Cyprus

Acceptance Rates

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

Upcoming Conference

SAC '25

Sponsor:
sigapp

The 40th ACM/SIGAPP Symposium on Applied Computing

March 31 - April 4, 2025

Catania , Italy

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Cited By

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Khandaker FSenderovich AZhao JCohen EYu ECarbajales SChan A(2024)Transformer models for mining intents and predicting activities from emails in knowledge-intensive processesEngineering Applications of Artificial Intelligence10.1016/j.engappai.2023.107450128:COnline publication date: 14-Mar-2024
https://dl.acm.org/doi/10.1016/j.engappai.2023.107450
Elleuch MIsmaili OLaga NGaaloul W(2023)Process fragments discovery from emailsInformation Systems10.1016/j.is.2023.102229118:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.is.2023.102229
Khandaker FSenderovich AYu ECarbajales SChan A(2023)Transformer Models for Activity Mining in Knowledge-Intensive ProcessesBusiness Process Management Workshops10.1007/978-3-031-25383-6_2(13-24)Online publication date: 9-Feb-2023
https://doi.org/10.1007/978-3-031-25383-6_2
Elleuch MLaga NAlaoui Ismaili OGaaloul W(2021)Multi‐perspective business process discovery from messaging systems: State‐of‐the artConcurrency and Computation: Practice and Experience10.1002/cpe.664235:11Online publication date: 30-Sep-2021
https://doi.org/10.1002/cpe.6642
ELLEUCH MLAGA NALAOUI ISMAILI OGAALOUL W(2020)Discovering Business Processes And Activities From Messaging Systems: State-Of-The Art2020 IEEE 29th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)10.1109/WETICE49692.2020.00035(137-142)Online publication date: Sep-2020
https://doi.org/10.1109/WETICE49692.2020.00035
ELLEUCH MASSY NLAGA NGAALOUL WALAOUI ISMAILI OBenatallah B(2020)A Meta Model for Mining Processes from Email Data2020 IEEE International Conference on Services Computing (SCC)10.1109/SCC49832.2020.00028(152-161)Online publication date: Nov-2020
https://doi.org/10.1109/SCC49832.2020.00028
Elleuch MAlaoui Ismaili OLaga NAssy NGaaloul W(2020)Discovery of Activities’ Actor Perspective from Emails based on Speech Acts Detection2020 2nd International Conference on Process Mining (ICPM)10.1109/ICPM49681.2020.00021(73-80)Online publication date: Oct-2020
https://doi.org/10.1109/ICPM49681.2020.00021
Elleuch MIsmaili OLaga NGaaloul WBenatallah B(2020)Discovering Activities from Emails Based on Pattern Discovery ApproachBusiness Process Management Forum10.1007/978-3-030-58638-6_6(88-104)Online publication date: 2-Sep-2020
https://doi.org/10.1007/978-3-030-58638-6_6

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