A Hybrid Approach for Process Mining Using From to Chart Arranged by Genetic Algorithms LNCS San Sebastian Spain June 2010

Esgin, Eren
Karagöz, Pınar
In the scope of this study, a hybrid data analysis methodology to business process modeling is proposed in such a way that; From-to Chart, which is basically used as the front-end to figure out the observed patterns among the activities at realistic event logs, is rearranged by Genetic Algorithms to convert these derived raw relations into activity sequence. According to experimental results, acceptably good (sub-optimal or optimal) solutions are obtained for relatively complex business processes at a reasonable processing time period.


An Effort Prediction Model Based on BPM Measures for Process Automation
Aysolmaz, Banu; Iren, Deniz; Demirörs, Onur (2013-06-18)
BPM software automation projects require different approaches for effort estimation for they are developed based on business process models rather than traditional requirements analysis outputs. In this empirical research we examine the effect of various measures for BPMN compliant business process models on the effort spent to automate those models. Although different measures are suggested in the literature, only a few studies exist that relate these measures to effort estimation. We propose that differen...
A multicriteria sorting approach based on data envelopment analysis for R&D project selection problem
Karasakal, Esra (Elsevier BV, 2017-12-01)
In this paper, multiple criteria sorting methods based on data envelopment analysis (DEA) are developed to evaluate research and development (R&D) projects. The weight intervals of the criteria are obtained from Interval Analytic Hierarchy Process and employed as the assurance region constraints of models. Based on data envelopment analysis, two threshold estimation models, and five assignment models are developed for sorting. In addition to sorting, these models also provide ranking of the projects. The de...
A Hybrid Computational Method based on Convex Optimizationfor Outlier Problems
Yerlikaya Ozkurt, Fatma; Askan Gündoğan, Ayşegül; Weber, Gerhard Wiehelm (2015-11-01)
Statistical modeling plays a central role for any prediction problem of interest.However, predictive models may give misleading results when the data containoutliers. In many applications, it is important to identify and treat the outlierswithout direct elimination. To handle such issues, a hybrid computational methodbased on conic quadratic programming is introduced and employed onearthquake ground motion data set. Results are compared against widely-usedground motion prediction models.
An approach for eliciting functional requirements of the software intensive systems based on business process modeling
Yıldız, Okan; Güçlü, Nusret; Demirös, Onur; Department of Information Systems (2002)
In this thesis, eliciting system functional requirements based on business requirements during software intensive systems acquisition or development process is investigated and an approach is proposed for this purpose. Concepts and current problems within the framework of business requirements are investigated with a general literature review of requirements engineering and technology acquisition. Determination of requirements of IT system to be acquired according to the business objectives and base lining ...
An Approach for determining process economy parameters of multivariate loss functions
Özkan, Gökçe; Köksal, Gülser; Department of Industrial Engineering (2016)
The aim of this study is to provide an effective method for determining parameters of multivariate loss functions, which are related with process economics. The loss functions are widely used in product and process design and other quality engineering applications. Although there are several studies about different types of loss functions, there is a lack of studies on determining cost matrix parameters of these functions. For this purpose, we propose a method based on multi-objective decision making tools....
Citation Formats
E. Esgin and P. Karagöz, “A Hybrid Approach for Process Mining Using From to Chart Arranged by Genetic Algorithms LNCS San Sebastian Spain June 2010,” 2010, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/49033.