Abstract
The problem of constructing flexible process models is very urgent nowadays. The structure of flexible processes may be changed either at configuration or runtime stages. Therefore, the flexible process model can be further adapted to the specific implementation conditions in static and dynamic modes. The process model can be constructed by traditional methods, involving domain experts, and by process mining techniques as well. Process mining technique is used for process modeling based on their execution recorded in event logs. The current work is based on the idea of constructing a flexible process model by process mining techniques using algebra of finite predicates (AFP) and logical networks. AFP is intended to formalize the logical processes and represents the discrete unit to describe arbitrary finite relations. Solving AFP equations is implemented by logical networks that convert algebraic equations into a binary system. The proposed approach represents augmentation of a consecutive model at the stage of log analysis for various executions of the process. Identification of different elements is performed by logical networks.
| Original language | English |
|---|---|
| Title of host publication | 2014 9th International Forum on Strategic Technology, IFOST 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 97-101 |
| Number of pages | 5 |
| ISBN (Print) | 9781479960620 |
| DOIs | |
| Publication status | Published - 17 Dec 2014 |
| Event | 9th International Forum on Strategic Technology, IFOST 2014 - Cox's Bazar, Bangladesh Duration: 21 Oct 2014 → 23 Oct 2014 |
Other
| Other | 9th International Forum on Strategic Technology, IFOST 2014 |
|---|---|
| Country | Bangladesh |
| City | Cox's Bazar |
| Period | 21.10.14 → 23.10.14 |
Fingerprint
Keywords
- algorithms
- business intelligence
- event logs
- flexible process
- logical networks
- model
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Civil and Structural Engineering
- Building and Construction
- Fuel Technology
- Computer Networks and Communications
Cite this
Detection of processing model basic elements in intellectual analysis of flexible processes through business process intelligence. / Rudometkina, M. N.; Spitsyn, V. G.
2014 9th International Forum on Strategic Technology, IFOST 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 97-101 6991080.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Detection of processing model basic elements in intellectual analysis of flexible processes through business process intelligence
AU - Rudometkina, M. N.
AU - Spitsyn, V. G.
PY - 2014/12/17
Y1 - 2014/12/17
N2 - The problem of constructing flexible process models is very urgent nowadays. The structure of flexible processes may be changed either at configuration or runtime stages. Therefore, the flexible process model can be further adapted to the specific implementation conditions in static and dynamic modes. The process model can be constructed by traditional methods, involving domain experts, and by process mining techniques as well. Process mining technique is used for process modeling based on their execution recorded in event logs. The current work is based on the idea of constructing a flexible process model by process mining techniques using algebra of finite predicates (AFP) and logical networks. AFP is intended to formalize the logical processes and represents the discrete unit to describe arbitrary finite relations. Solving AFP equations is implemented by logical networks that convert algebraic equations into a binary system. The proposed approach represents augmentation of a consecutive model at the stage of log analysis for various executions of the process. Identification of different elements is performed by logical networks.
AB - The problem of constructing flexible process models is very urgent nowadays. The structure of flexible processes may be changed either at configuration or runtime stages. Therefore, the flexible process model can be further adapted to the specific implementation conditions in static and dynamic modes. The process model can be constructed by traditional methods, involving domain experts, and by process mining techniques as well. Process mining technique is used for process modeling based on their execution recorded in event logs. The current work is based on the idea of constructing a flexible process model by process mining techniques using algebra of finite predicates (AFP) and logical networks. AFP is intended to formalize the logical processes and represents the discrete unit to describe arbitrary finite relations. Solving AFP equations is implemented by logical networks that convert algebraic equations into a binary system. The proposed approach represents augmentation of a consecutive model at the stage of log analysis for various executions of the process. Identification of different elements is performed by logical networks.
KW - algorithms
KW - business intelligence
KW - event logs
KW - flexible process
KW - logical networks
KW - model
UR - http://www.scopus.com/inward/record.url?scp=84921284943&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84921284943&partnerID=8YFLogxK
U2 - 10.1109/IFOST.2014.6991080
DO - 10.1109/IFOST.2014.6991080
M3 - Conference contribution
AN - SCOPUS:84921284943
SN - 9781479960620
SP - 97
EP - 101
BT - 2014 9th International Forum on Strategic Technology, IFOST 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -