APD tool: Mining anomalous patterns from event logs

L. Genga; M. Alizadeh; D. Potena; C. Diamantini; Nicola Zannone

APD tool: Mining anomalous patterns from event logs

L. Genga, M. Alizadeh, D. Potena, C. Diamantini, Nicola Zannone

Security

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

1 Citation (Scopus)

99 Downloads (Pure)

Abstract

A main challenge of today's organizations is the monitoring of their processes to check whether these processes comply with process models specifying the prescribed behavior. Deviations from the prescribed behavior can represent either legitimate work practices not described by the models, which highlight the need of improving it to better reflect the reality, or malicious behaviors representing, for instance, security breaches and frauds. In this paper, we present a tool designed to extract anomalous patterns representing recurrent deviations, together with their correlations, from historical logging data. The tool is targeted to researchers and practitioners in business process and security domains, with background in process mining.

Original language	English
Title of host publication	Proceedings of the BPM Demo Track and BPM Dissertation Award
Editors	R. Clarisó, H. Leopold, J. Mendling, W. van der Aalst, A. Kumar, B. Pentland, M. Weske
Publisher	Sun SITE Central Europe
Number of pages	5
Publication status	Published - 2017
Event	15th International Conference on Business Process Management (BPM 2017) - Barcelona, Spain Duration: 10 Sept 2017 → 15 Sept 2017 Conference number: 15 https://bpm2017.cs.upc.edu/

Publication series

Name	CEUR workshop proceedings
Volume	1920
ISSN (Electronic)	1613-0073

Conference

Conference	15th International Conference on Business Process Management (BPM 2017)
Abbreviated title	BPM 2017
Country/Territory	Spain
City	Barcelona
Period	10/09/17 → 15/09/17
Internet address	https://bpm2017.cs.upc.edu/

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Cite this

@inproceedings{f9344aaf886f45f289e9e00e7b13836d,

title = "APD tool: Mining anomalous patterns from event logs",

abstract = "A main challenge of today's organizations is the monitoring of their processes to check whether these processes comply with process models specifying the prescribed behavior. Deviations from the prescribed behavior can represent either legitimate work practices not described by the models, which highlight the need of improving it to better reflect the reality, or malicious behaviors representing, for instance, security breaches and frauds. In this paper, we present a tool designed to extract anomalous patterns representing recurrent deviations, together with their correlations, from historical logging data. The tool is targeted to researchers and practitioners in business process and security domains, with background in process mining.",

author = "L. Genga and M. Alizadeh and D. Potena and C. Diamantini and Nicola Zannone",

year = "2017",

language = "English",

series = "CEUR workshop proceedings",

publisher = "Sun SITE Central Europe",

editor = "R. Claris{\'o} and H. Leopold and Mendling, {J. } and {van der Aalst}, W. and A. Kumar and B. Pentland and Weske, {M. }",

booktitle = "Proceedings of the BPM Demo Track and BPM Dissertation Award",

note = "15th International Conference on Business Process Management (BPM 2017), BPM 2017 ; Conference date: 10-09-2017 Through 15-09-2017",

url = "https://bpm2017.cs.upc.edu/",

}

Genga, L, Alizadeh, M, Potena, D, Diamantini, C & Zannone, N 2017, APD tool: Mining anomalous patterns from event logs. in R Clarisó, H Leopold, J Mendling, W van der Aalst, A Kumar, B Pentland & M Weske (eds), Proceedings of the BPM Demo Track and BPM Dissertation Award. CEUR workshop proceedings, vol. 1920, Sun SITE Central Europe, 15th International Conference on Business Process Management (BPM 2017), Barcelona, Spain, 10/09/17.

APD tool: Mining anomalous patterns from event logs. / Genga, L.; Alizadeh, M.; Potena, D. et al.
Proceedings of the BPM Demo Track and BPM Dissertation Award. ed. / R. Clarisó; H. Leopold; J. Mendling; W. van der Aalst; A. Kumar; B. Pentland; M. Weske. Sun SITE Central Europe, 2017. (CEUR workshop proceedings; Vol. 1920).

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

TY - GEN

T1 - APD tool

T2 - 15th International Conference on Business Process Management (BPM 2017)

AU - Genga, L.

AU - Alizadeh, M.

AU - Potena, D.

AU - Diamantini, C.

AU - Zannone, Nicola

N1 - Conference code: 15

PY - 2017

Y1 - 2017

N2 - A main challenge of today's organizations is the monitoring of their processes to check whether these processes comply with process models specifying the prescribed behavior. Deviations from the prescribed behavior can represent either legitimate work practices not described by the models, which highlight the need of improving it to better reflect the reality, or malicious behaviors representing, for instance, security breaches and frauds. In this paper, we present a tool designed to extract anomalous patterns representing recurrent deviations, together with their correlations, from historical logging data. The tool is targeted to researchers and practitioners in business process and security domains, with background in process mining.

AB - A main challenge of today's organizations is the monitoring of their processes to check whether these processes comply with process models specifying the prescribed behavior. Deviations from the prescribed behavior can represent either legitimate work practices not described by the models, which highlight the need of improving it to better reflect the reality, or malicious behaviors representing, for instance, security breaches and frauds. In this paper, we present a tool designed to extract anomalous patterns representing recurrent deviations, together with their correlations, from historical logging data. The tool is targeted to researchers and practitioners in business process and security domains, with background in process mining.

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M3 - Conference contribution

AN - SCOPUS:85030092436

T3 - CEUR workshop proceedings

BT - Proceedings of the BPM Demo Track and BPM Dissertation Award

A2 - Clarisó, R.

A2 - Leopold, H.

A2 - Mendling, J.

A2 - van der Aalst, W.

A2 - Kumar, A.

A2 - Pentland, B.

A2 - Weske, M.

PB - Sun SITE Central Europe

Y2 - 10 September 2017 through 15 September 2017

ER -

APD tool: Mining anomalous patterns from event logs

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