The performance spectrum miner: visual analytics for fine-grained performance analysis of processes

Vadim Denisov; Elena Belkina; Dirk Fahland; Wil M.P. van der Aalst

The performance spectrum miner: visual analytics for fine-grained performance analysis of processes

Vadim Denisov, Elena Belkina, Dirk Fahland, Wil M.P. van der Aalst

Process Analytics

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

14 Citations (Scopus)

226 Downloads (Pure)

Abstract

We present the Performance Spectrum Miner, a ProM plugin, which implements a new technique for fine-grained performance analysis of processes. The technique uses the performance spectrum as a simple model, that maps all observed flows between two process steps together regarding their performance over time, and can be applied for event logs of any kinds of processes. The tool computes and visualizes performance spectra of processes, and provides rich functionality to explore various performance aspects. The demo is aimed to make process mining practitioners familiar with the technique and tool, and engage them into applying this tool for solving their daily process mining-related tasks.

Original language	English
Title of host publication	BPMTracks 2018
Editors	F. Casati
Publisher	CEUR-WS.org
Pages	96-100
Number of pages	5
Publication status	Published - Sept 2018
Event	16th International Conference on Business Process Management (BPM 2018) - Sydney, Australia Duration: 9 Sept 2018 → 14 Sept 2018 Conference number: 16 http://ceur-ws.org/Vol-2196/

Publication series

Name	CEUR Workshop Proceedings
Volume	2196
ISSN (Print)	1613-0073

Conference

Conference	16th International Conference on Business Process Management (BPM 2018)
Abbreviated title	BPM 2018
Country/Territory	Australia
City	Sydney
Period	9/09/18 → 14/09/18
Other	Dissertation Award, Demonstration, and Industrial Track at BPM
Internet address	http://ceur-ws.org/Vol-2196/

Keywords

Performance analysis
Performance spectrum
Process mining

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Cite this

@inproceedings{72f956b1b3bc4512a3c08adcdba74633,

title = "The performance spectrum miner: visual analytics for fine-grained performance analysis of processes",

abstract = "We present the Performance Spectrum Miner, a ProM plugin, which implements a new technique for fine-grained performance analysis of processes. The technique uses the performance spectrum as a simple model, that maps all observed flows between two process steps together regarding their performance over time, and can be applied for event logs of any kinds of processes. The tool computes and visualizes performance spectra of processes, and provides rich functionality to explore various performance aspects. The demo is aimed to make process mining practitioners familiar with the technique and tool, and engage them into applying this tool for solving their daily process mining-related tasks.",

keywords = "Performance analysis, Performance spectrum, Process mining",

author = "Vadim Denisov and Elena Belkina and Dirk Fahland and {van der Aalst}, {Wil M.P.}",

year = "2018",

month = sep,

language = "English",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS.org",

pages = "96--100",

editor = "F. Casati",

booktitle = "BPMTracks 2018",

note = "16th International Conference on Business Process Management (BPM 2018), BPM 2018 ; Conference date: 09-09-2018 Through 14-09-2018",

url = "http://ceur-ws.org/Vol-2196/",

}

The performance spectrum miner: visual analytics for fine-grained performance analysis of processes. / Denisov, Vadim; Belkina, Elena; Fahland, Dirk et al.
BPMTracks 2018. ed. / F. Casati. CEUR-WS.org, 2018. p. 96-100 (CEUR Workshop Proceedings; Vol. 2196).

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

TY - GEN

T1 - The performance spectrum miner

T2 - 16th International Conference on Business Process Management (BPM 2018)

AU - Denisov, Vadim

AU - Belkina, Elena

AU - Fahland, Dirk

AU - van der Aalst, Wil M.P.

N1 - Conference code: 16

PY - 2018/9

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N2 - We present the Performance Spectrum Miner, a ProM plugin, which implements a new technique for fine-grained performance analysis of processes. The technique uses the performance spectrum as a simple model, that maps all observed flows between two process steps together regarding their performance over time, and can be applied for event logs of any kinds of processes. The tool computes and visualizes performance spectra of processes, and provides rich functionality to explore various performance aspects. The demo is aimed to make process mining practitioners familiar with the technique and tool, and engage them into applying this tool for solving their daily process mining-related tasks.

AB - We present the Performance Spectrum Miner, a ProM plugin, which implements a new technique for fine-grained performance analysis of processes. The technique uses the performance spectrum as a simple model, that maps all observed flows between two process steps together regarding their performance over time, and can be applied for event logs of any kinds of processes. The tool computes and visualizes performance spectra of processes, and provides rich functionality to explore various performance aspects. The demo is aimed to make process mining practitioners familiar with the technique and tool, and engage them into applying this tool for solving their daily process mining-related tasks.

KW - Performance analysis

KW - Performance spectrum

KW - Process mining

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M3 - Conference contribution

AN - SCOPUS:85053602857

T3 - CEUR Workshop Proceedings

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BT - BPMTracks 2018

A2 - Casati, F.

PB - CEUR-WS.org

Y2 - 9 September 2018 through 14 September 2018

ER -

The performance spectrum miner: visual analytics for fine-grained performance analysis of processes

Abstract

Publication series

Conference

Keywords

Access to Document

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BPIC’2018: Mining Concept Drift in Performance Spectra of Processes

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