Sequence Alignment Adaptation for Process Diagnostics and Delta Analysis

Date

2013-09-13

Author

Esgin, Eren
Karagöz, Pınar

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

202
views

0
downloads

Business process management (BPM) paradigm gains growing attention by providing generic process design and execution capabilities. During execution, many business processes leave casual footprints (event logs) at these transactional information systems. Process mining aims to extract business processes by distilling event logs for knowledge. Sequence alignment is a technique that is frequently used in domains including bioinformatics, language/text processing and finance. It aims to arrange structures, such as protein sequences to identify similar regions. In this study, we focus on a hybrid quantitative approach for performing process diagnostics, i.e. comparing the similarity among process models based on the established dominant behavior concept and Needleman-Wunsch algorithm.

Subject Keywords

Process Mining, Sequence alignment, Process diagnostics, Dominant behavior, Needleman-Wunsch algorithm

URI

https://hdl.handle.net/11511/53177

Conference Name

8th International Conference on Hybrid Artificial Intelligent Systems (HAIS)

Collections

Department of Computer Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Sequence alignment based process family extraction Esgin, Eren; Karagöz, Pınar; Çetin, Yasemin; Department of Information Systems (2018) Business Process Management (BPM) gains growing attention by generic process design and execution capabilities empowered by process-aware information systems. During execution of these transactional information systems, end-users leave traces in the form of event logs, which can be used as a main data source for behavior analysis. Process mining encompasses the techniques for automatically discovering process from these event logs, checking conformance between the reference process model and process executi...
Confidence-Aware Sequence Alignment for Process Diagnostics Esgin, Eren; Karagöz, Pınar (2013-12-05) Traditional process modeling in contemporary information systems concentrates on the design and configuration phases, while less attention is dedicated to the enactment phase. Instead of starting with a process design, process mining attempts to discover interesting patterns from a set of real time execution namely event logs, which can be handled as a main data source for end-user behavior analysis, and translate this discovered knowledge into process model. One of the challenging issues in process mining ...
Dynamic Scoring-Based Sequence Alignment for Process Diagnostics Esgin, Eren; Karagöz, Pınar (2015-06-12) Even though process-aware information systems are intensively utilized in the organizations, traditional process management paradigms majorly concentrate on the design and configuration phases. Instead of starting with a process design, process mining attempts to discover interesting patterns from process enactment namely event logs and extract business processes by distilling these event logs as knowledge base. One of the challenging issues in process mining domain is process diagnostics, which is complex ...
Delta Analysis: A Hybrid Quantitative Approach for Measuring Discrepancies between Business Process Models Esgin, Eren; Karagöz, Pınar (2011-05-25) Business process management (BPM) continues to play a significant role in today's highly globalized world. In order to detect and prevent the gap between reference process model and the actual operation, process mining techniques discover operational model on the basis of the process logs. An important issue at BPM is to measure the similarity between the reference process model and discovered process model so that it can be possible to pinpoint where process participants deviate from the intended process d...
An investigation of the relationship between joint visual attention and product quality in collaborative business process modeling: a dual eye-tracking study Fındık Coşkunçay, Duygu; Çakır, Murat Perit (2022-02-01) Collaborative business process modeling is a collective activity where team members jointly discuss, design, and document business processes. During such activities, team members need to communicate with each other to coordinate the modeling activities, propose and justify changes, and negotiate common terms and definitions. Throughout this process, stakeholders should be aware of when and what kind of changes have been made by each team member on the shared space so that they can discuss design ideas and b...

Citation Formats

E. Esgin and P. Karagöz, “Sequence Alignment Adaptation for Process Diagnostics and Delta Analysis,” Salamanca, SPAIN, 2013, vol. 8073, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53177.