Takip et
Ali Dag
Ali Dag
Associate Professor of Analytics, Heider College of Business, Creighton University
creighton.edu üzerinde doğrulanmış e-posta adresine sahip
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Predicting graft survival among kidney transplant recipients: A Bayesian decision support model
K Topuz, FD Zengul, A Dag, A Almehmi
Decision Support Systems 106, 97-109, 2018
1322018
Predicting heart transplantation outcomes through data analytics
A Dag, A Yucel, S Bulur, FM Megahed
Decision Support Systems 94, 42-52, 2017
1042017
Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach
BD Rouyendegh, J Ekong, A Dag
Annals of Operations Research, 1-18, 2017
1032017
A probabilistic data-driven framework for scoring the preoperative recipient-donor heart transplant survival
A Dag, K Topuz, S Bulur, MF Megahed
Decision Support Systems 86, 1-12, 2016
812016
A hybrid data mining approach for identifying the temporal effects of variables associated with breast cancer survival
S Simsek, U Kursuncu, E Kibis, M AnisAbdellatif, A Dag
Expert Systems with Applications, 112863, 2020
572020
An AHP-IFT Integrated Model for Performance Evaluation of E-Commerce Web Sites
BD Rouyendegh, K Topuz, A Dag
Information Systems Frontiers, 1-11, 2018
462018
A Bayesian Belief Network-based probabilistic mechanism to determine patient no-show risk categories
S Simsek, A Dag, T Tiahrt, A Oztekin
Omega 100, 102296, 2021
332021
Developing a Decision Support System to Detect Material Weaknesses in Internal Control
M Nasir, S Simsek, E Cornelsen, S Ragothaman, A Dag
Decision Support Systems, 2021
312021
Stratifying No-show Patients into Multiple Risk Groups via a Holistic Data Analytics-based Framework
S Simsek, T Tiahrt, A Dag
Decision Support Systems, 2020
252020
A comparative data analytic approach to construct a risk trade-off for cardiac patients’ re-admissions
M Nasir, C South-Winter, S Ragothaman, A Dag
Industrial Management & Data Systems 119 (1), 189-209, 2019
222019
A machine learning-based approach to predict the velocity profiles in small streams
O Genç, A Dağ
Water resources management 30, 43-61, 2016
202016
Impact of commitment, information sharing, and information usage on supplier performance: a Bayesian belief network approach
A Sener, M Barut, A Dag, MB Yildirim
Annals of Operations Research, 1-34, 2019
192019
Data analytics approaches for breast cancer survivability: comparison of data mining methods
E Kibis, E Buyuktahtakin, A Dag
Proceedings of the 2017 Industrial and Systems Engineering Conference, 2017
162017
An interpretable decision-support systems for daily cryptocurrency trading
HA Dolatsara, E Kibis, M Caglar, S Simsek, A Dag, GA Dolatsara, D Delen
Expert Systems with Applications 203, 117409, 2022
152022
A service analytic approach to studying patient no-shows
M Nasir, N Summerfield, A Dag, A Oztekin
Service Business, 1-27, 2020
132020
A Tree Augmented Naïve Bayes-based methodology for classifying cryptocurrency trends
A Dag, AZ Dag, A Asilkalkan, S Simsek, D Delen
Journal of Business Research 156, 113522, 2023
102023
A novel text analytic methodology for classification of product and service reviews
A Yucel, A Dag, A Oztekin, M Carpenter
Journal of Business Research 151, 287-297, 2022
82022
A Bayesian network-based data analytical approach to predict velocity distribution in small streams
O Genc, A Dag
Journal of Hydroinformatics 18 (3), 466-480, 2016
72016
Improving imbalanced machine learning with neighborhood-informed synthetic sample placement
M Nasir, A Dag, S Simsek, A Ivanov, A Oztekin
Journal of Management Information Systems 39 (4), 1116-1145, 2022
42022
Determining optimal skillsets for business managers based on local and global job markets: A text analytics approach
M Nasir, A Dag, WA Young, D Delen
Decision Sciences Journal of Innovative Education 18 (3), 374-408, 2020
42020
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20