Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract)

Vinicius Stein Dani

Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract)

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

Abstract

To conduct process mining an event log is required. However, extracting event logs is often time-consuming, especially when the respective IT systems do not store events in a process oriented way. The main reason is that tasks have to be performed manually, such as identifying entries in a transactional database that relate to the activities of the considered process. In this PhD project, we address this problem of the human-in-the-loop during event log extraction. Our main goal is to minimize, through automation, the manual effort involved in the extraction of event logs.

Original language	English
Title of host publication	ICPM 2020 Doctoral Consortium and Tool Demonstration Track
Editors	Claudio Di Ciccio, Benoît Depaire, Jochen De Weerdt, Chiara Di Francescomarino, Jorge Munoz-Gama
Pages	15
Number of pages	16
Publication status	Published - 2020
Event	2nd International Conference on Process Mining, ICPM 2020 - Virtual, Padua, Italy Duration: 4 Oct 2020 → 9 Oct 2020

Conference

Conference	2nd International Conference on Process Mining, ICPM 2020
Country/Territory	Italy
City	Virtual, Padua
Period	4/10/20 → 9/10/20

Keywords

Process mining
Event log extraction
Automation
Human-in-the-loop

Access to Document

http://ceur-ws.org/Vol-2703/paperDC8.pdfLicence: CC BY

Cite this

@inproceedings{7a805adf2c6f42028c6c550d4b537dd0,

title = "Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract)",

abstract = "To conduct process mining an event log is required. However, extracting event logs is often time-consuming, especially when the respective IT systems do not store events in a process oriented way. The main reason is that tasks have to be performed manually, such as identifying entries in a transactional database that relate to the activities of the considered process. In this PhD project, we address this problem of the human-in-the-loop during event log extraction. Our main goal is to minimize, through automation, the manual effort involved in the extraction of event logs.",

keywords = "Process mining, Event log extraction, Automation, Human-in-the-loop",

author = "{Stein Dani}, Vinicius",

year = "2020",

language = "English",

pages = "15",

editor = "{Di Ciccio}, Claudio and Beno{\^i}t Depaire and {De Weerdt}, Jochen and {Di Francescomarino}, Chiara and Jorge Munoz-Gama",

booktitle = "ICPM 2020 Doctoral Consortium and Tool Demonstration Track",

note = "2nd International Conference on Process Mining, ICPM 2020 ; Conference date: 04-10-2020 Through 09-10-2020",

}

Stein Dani, V 2020, Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract). in C Di Ciccio, B Depaire, J De Weerdt, C Di Francescomarino & J Munoz-Gama (eds), ICPM 2020 Doctoral Consortium and Tool Demonstration Track. pp. 15, 2nd International Conference on Process Mining, ICPM 2020, Virtual, Padua, Italy, 4/10/20. <http://ceur-ws.org/Vol-2703/paperDC8.pdf>

Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract). / Stein Dani, Vinicius.
ICPM 2020 Doctoral Consortium and Tool Demonstration Track. ed. / Claudio Di Ciccio; Benoît Depaire; Jochen De Weerdt; Chiara Di Francescomarino; Jorge Munoz-Gama. 2020. p. 15.

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

TY - GEN

T1 - Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract)

AU - Stein Dani, Vinicius

PY - 2020

Y1 - 2020

N2 - To conduct process mining an event log is required. However, extracting event logs is often time-consuming, especially when the respective IT systems do not store events in a process oriented way. The main reason is that tasks have to be performed manually, such as identifying entries in a transactional database that relate to the activities of the considered process. In this PhD project, we address this problem of the human-in-the-loop during event log extraction. Our main goal is to minimize, through automation, the manual effort involved in the extraction of event logs.

AB - To conduct process mining an event log is required. However, extracting event logs is often time-consuming, especially when the respective IT systems do not store events in a process oriented way. The main reason is that tasks have to be performed manually, such as identifying entries in a transactional database that relate to the activities of the considered process. In this PhD project, we address this problem of the human-in-the-loop during event log extraction. Our main goal is to minimize, through automation, the manual effort involved in the extraction of event logs.

KW - Process mining

KW - Event log extraction

KW - Automation

KW - Human-in-the-loop

M3 - Conference contribution

SP - 15

BT - ICPM 2020 Doctoral Consortium and Tool Demonstration Track

A2 - Di Ciccio, Claudio

A2 - Depaire, Benoît

A2 - De Weerdt, Jochen

A2 - Di Francescomarino, Chiara

A2 - Munoz-Gama, Jorge

T2 - 2nd International Conference on Process Mining, ICPM 2020

Y2 - 4 October 2020 through 9 October 2020

ER -

Event Log Extraction: How to Minimize the Effort of the Human-in-the-Loop? (Extended Abstract)

Abstract

Conference

Keywords

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