Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Extracting process hierarchies by multi-sequence alignment adaptations
Date
2022-09-01
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
80
views
0
downloads
Cite This
URI
https://hdl.handle.net/11511/99286
Journal
ENTERPRISE INFORMATION SYSTEMS
Collections
Department of Computer Engineering, Article
Suggestions
OpenMETU
Core
Extracting process hierarchies by multi-sequence alignment adaptations
Esgin, Eren; Karagöz, Pınar (2021-01-01)
Process mining is an active research area that provides a wide range of automated process discovery, conformance checking and process enhancement solutions by extracting process information from event logs. With the emerge of new shared economy models and system architectures, monolithic perspective of process mining, i.e. a single process within a single organisation, is evolved towards cross-organisational business processes. The results can be used to form new collaboration among the organisations and sh...
Extracting Connection Types in Process Models Discovered by Using From-to Chart Based Approach
Esgin, Eren; Karagöz, Pınar (2011-07-01)
Although contemporary information systems are intensively utilized in enterprises, their actual impact in automating complex business process is still constrained by the difficulties coincided in design phase. In this study, a hybrid data analysis methodology to business process modeling that is based on using from-to chart is further enhanced to discover connection types and include in the process model. From-to chart is basically used as the front-end to figure out the observed transitions among the activ...
Extracting Sequential Patterns Based on User Defined Criteria
Alkan, Oznur Kirmemis; Karagöz, Pınar (2013-09-13)
Sequential pattern extraction is essential in many applications like bioinformatics and consumer behavior analysis. Various frequent sequential pattern mining algorithms have been developed that mine the set of frequent subsequences satisfying a minimum support constraint in a transaction database. In this paper, a hybrid framework to sequential pattern mining problem is proposed which combines clustering together with a novel pattern extraction algorithm that is based on an evaluation function, which utili...
Extracting Potentially High Profit Product Feature Groups by Using High Utility Pattern Mining and Aspect Based Sentiment Analysis
Demir, Seyfullah; Alkan, Öznur; Çekinel, Recep Fırat; Karagöz, Pınar (Springer, Cham, 2019-01-01)
As a subproblem of sentiment analysis topic, aspect based sentiment analysis aims to extract distinct opinions for different aspects of a case in a given text. When the case is product review, it is possible to understand reviewer’s opinion on features of the product, rather than the product in general. Then, a product feature can be associated with a sentiment score denoting user satisfaction value by that feature. Modeling features mentioned in a review as items in a transaction may provide better insight...
Extracting Unit Cells from Tilings with Color Symmetries Case of Counterchange Patterns
Adanova, Venera; Tarı, Zehra Sibel (2016-08-09)
In this work, we present a novel computer method for obtaining units cells and symmetry operations required to analyze the tiling, without assuming the knowledge of the underlying symmetry group.
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
E. Esgin and P. Karagöz, “Extracting process hierarchies by multi-sequence alignment adaptations,”
ENTERPRISE INFORMATION SYSTEMS
, vol. 16, no. 10-11, pp. 1617–1652, 2022, Accessed: 00, 2022. [Online]. Available: https://hdl.handle.net/11511/99286.