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All Journal International Journal of Intelligent Systems and Applications in Engineering
Aktepe, Adnan
Prof. Dr. Ismail SARITAS
Computer Science & IT

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An Application in SPSS Clementine Based on the Comparison of Association Algorithms in Data Mining Karalök, Seren Sezen; Ersöz, Süleyman; Aktepe, Adnan
International Journal of Intelligent Systems and Applications in Engineering 2016: Special Issue
Publisher : Prof. Dr. Ismail SARITAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18201/ijisae.2016Special Issue-146980

Abstract

Data mining is the process of acquiring information form large data pools. In this study, associate analysis method is used.  The application and comparisons are found by using 3 different algorithms from SPSS Clementine which is a data mining software. In this study, the results are varied because different associate methods are applied on. Therefore, new findings are obtained.  Consequent to this, it will lead us to new strategies to develop for customers in Market Basket Analysis. This study is done by using a big supermarket data. Results are compared and reported for every each of 3 different algorithms. 
Improvement of Facility Layout by Using Data Mining Algorithms and an Application KOKOÇ, Melda; ERSÖZ, Süleyman; AKTEPE, Adnan; TÜRKER, Ahmet Kürşad
International Journal of Intelligent Systems and Applications in Engineering 2016: Special Issue
Publisher : Prof. Dr. Ismail SARITAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18201/ijisae.267175

Abstract

The facility layout problems are always important in the production or service industry system. For many years, it has been a common research field in active research. It seen that various methods were used in literature review for improving facility layout. We used association analysis which is one of the techniques of data mining in this study. The primary aim of this study is to improving the emergency departments efficiency, increasing patient satisfaction and employee satisfaction, decreasing travelled distance in emergency department. In this study, data acquired from information system of an emergency service was examined by means of data mining techniques (association rules such as GRI and Apriori) and relations between departments were found out. Association rules were analyzed via data mining techniques applied and then departments having more flow density with each other were determined. In consideration of this information an alternative facility layout planning was planned in regard to analysis results of departments’ closeness situations, advices of emergency service doctor and observations made.
Co-Authors Ersöz, Süleyman ERSÖZ, Süleyman Karalök, Seren Sezen KOKOÇ, Melda TÜRKER, Ahmet Kürşad