Standard
Dynamic constructs competition miner - occurrence- vs. time-based ageing. / Redlich, David; Molka, Thomas; Gilani, Wasif et al.
Data-Driven Process Discovery and Analysis: 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers. ed. / Paolo Ceravolo; Barbara Russo; Rafael Accorsi. Springer, 2015. p. 79-106 (Lecture Notes in Business Information Processing; Vol. 237).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Redlich, D, Molka, T, Gilani, W
, Blair, GS & Rashid, A 2015,
Dynamic constructs competition miner - occurrence- vs. time-based ageing. in P Ceravolo, B Russo & R Accorsi (eds),
Data-Driven Process Discovery and Analysis: 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers. Lecture Notes in Business Information Processing, vol. 237, Springer, pp. 79-106.
APA
Redlich, D., Molka, T., Gilani, W.
, Blair, G. S., & Rashid, A. (2015).
Dynamic constructs competition miner - occurrence- vs. time-based ageing. In P. Ceravolo, B. Russo, & R. Accorsi (Eds.),
Data-Driven Process Discovery and Analysis: 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers (pp. 79-106). (Lecture Notes in Business Information Processing; Vol. 237). Springer.
Vancouver
Redlich D, Molka T, Gilani W
, Blair GS, Rashid A.
Dynamic constructs competition miner - occurrence- vs. time-based ageing. In Ceravolo P, Russo B, Accorsi R, editors, Data-Driven Process Discovery and Analysis: 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers. Springer. 2015. p. 79-106. (Lecture Notes in Business Information Processing).
Author
Redlich, David ; Molka, Thomas ; Gilani, Wasif et al. /
Dynamic constructs competition miner - occurrence- vs. time-based ageing. Data-Driven Process Discovery and Analysis: 4th International Symposium, SIMPDA 2014, Milan, Italy, November 19-21, 2014, Revised Selected Papers. editor / Paolo Ceravolo ; Barbara Russo ; Rafael Accorsi. Springer, 2015. pp. 79-106 (Lecture Notes in Business Information Processing).
Bibtex
@inproceedings{4ffb59630f5540b3a244800e2875aab4,
title = "Dynamic constructs competition miner - occurrence- vs. time-based ageing",
abstract = "Since the environment for businesses is becoming more competitive by the day, business organizations have to be more adaptive to environmental changes and are constantly in a process of optimization. Fundamental parts of these organizations are their business processes. Discovering and understanding the actual execution flow of the processes deployed in organizations is an important enabler for the management, analysis, and optimization of both, the processes and the business. This has become increasingly difficult since business processes are now often dynamically changing and may produce hundreds of events per second. The basis for this paper is the Constructs Competition Miner (CCM): A divide-and-conquer algorithm which discovers block-structured processes from event logs possibly consisting of exceptional behaviour. In this paper we propose a set of modifications for the CCM to enable dynamic business process discovery of a run-time process model from a stream of events. We describe the different modifications with a particular focus on the influence of individual events, i.e. ageing techniques. We furthermore investigate the behaviour and performance of the algorithm and the ageing techniques on event streams of dynamically changing processes.",
keywords = "Run-time models, Business Process Management, Process mining, Complex Event Processing, Event streaming, Big Data",
author = "David Redlich and Thomas Molka and Wasif Gilani and Blair, {Gordon Shaw} and Awais Rashid",
year = "2015",
month = nov,
day = "19",
language = "English",
isbn = "9783319272429",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer",
pages = "79--106",
editor = "Paolo Ceravolo and Barbara Russo and Rafael Accorsi",
booktitle = "Data-Driven Process Discovery and Analysis",
}
RIS
TY - GEN
T1 - Dynamic constructs competition miner - occurrence- vs. time-based ageing
AU - Redlich, David
AU - Molka, Thomas
AU - Gilani, Wasif
AU - Blair, Gordon Shaw
AU - Rashid, Awais
PY - 2015/11/19
Y1 - 2015/11/19
N2 - Since the environment for businesses is becoming more competitive by the day, business organizations have to be more adaptive to environmental changes and are constantly in a process of optimization. Fundamental parts of these organizations are their business processes. Discovering and understanding the actual execution flow of the processes deployed in organizations is an important enabler for the management, analysis, and optimization of both, the processes and the business. This has become increasingly difficult since business processes are now often dynamically changing and may produce hundreds of events per second. The basis for this paper is the Constructs Competition Miner (CCM): A divide-and-conquer algorithm which discovers block-structured processes from event logs possibly consisting of exceptional behaviour. In this paper we propose a set of modifications for the CCM to enable dynamic business process discovery of a run-time process model from a stream of events. We describe the different modifications with a particular focus on the influence of individual events, i.e. ageing techniques. We furthermore investigate the behaviour and performance of the algorithm and the ageing techniques on event streams of dynamically changing processes.
AB - Since the environment for businesses is becoming more competitive by the day, business organizations have to be more adaptive to environmental changes and are constantly in a process of optimization. Fundamental parts of these organizations are their business processes. Discovering and understanding the actual execution flow of the processes deployed in organizations is an important enabler for the management, analysis, and optimization of both, the processes and the business. This has become increasingly difficult since business processes are now often dynamically changing and may produce hundreds of events per second. The basis for this paper is the Constructs Competition Miner (CCM): A divide-and-conquer algorithm which discovers block-structured processes from event logs possibly consisting of exceptional behaviour. In this paper we propose a set of modifications for the CCM to enable dynamic business process discovery of a run-time process model from a stream of events. We describe the different modifications with a particular focus on the influence of individual events, i.e. ageing techniques. We furthermore investigate the behaviour and performance of the algorithm and the ageing techniques on event streams of dynamically changing processes.
KW - Run-time models
KW - Business Process Management
KW - Process mining
KW - Complex Event Processing
KW - Event streaming
KW - Big Data
M3 - Conference contribution/Paper
SN - 9783319272429
T3 - Lecture Notes in Business Information Processing
SP - 79
EP - 106
BT - Data-Driven Process Discovery and Analysis
A2 - Ceravolo, Paolo
A2 - Russo, Barbara
A2 - Accorsi, Rafael
PB - Springer
ER -
