Search Results - subject:"C5.0"

Improvement of C5.0 algorithm using internet of things with Bayesian principles for food traceability systems

Souprayen, Balamurugan; Ayyanar, Ayyasamy; Joseph, K. Suresh - In: Modern supply chain research and applications 3 (2021) 1, pp. 2-23

Purpose: The purpose of the food traceability is used to retain the good quality of raw material supply, diminish the loss and reduced system complexity. Design/methodology/approach: The proposed hybrid algorithm is for food traceability to make accurate predictions and enhanced period data. The...

Persistent link: https://www.econbiz.de/10012608582

Who should sign a professional baseball contract? : quantifying the financial opportunity costs of Major League draftees

Pifer, N. David; McLeod, Christopher M.; Travis, William J. - In: Journal of sports economics 21 (2020) 7, pp. 746-780

Persistent link: https://www.econbiz.de/10012310037

Systemic early warning systems for EU14 based on the 2008 crisis : proposed estimation and model assessment for classification forecasting

Papadopoulos, Savas; Stavroulias, Pantelis; Sager, Thomas - In: Journal of banking regulation 20 (2019) 3, pp. 226-244

Persistent link: https://www.econbiz.de/10012259715

A new stock selection model based on Decision Tree C5.0 Algorithm

Zhang, Qiansheng; Zhang, Jingru; Chen, Zisheng; Zhang, Miao - In: Journal of investment and management : JIM 7 (2018) 4, pp. 117-124

Persistent link: https://www.econbiz.de/10011963322

Observation of Success Status of Employees in E-Learning Courses in Organizations with Data Mining

Koçoğlu, Fatma Önay; Emre, İlkim Ecem; Erol, … - In: International Journal of E-Adoption (IJEA) 9 (2017) 1, pp. 38-49

observed by using data mining methods (C5.0, Random Forest and Gini). By observing using accuracy, error rate, specificity and … f- score from performance evaluation criteria, C5.0 has chosen the algorithm which gives the best performance results …

Persistent link: https://www.econbiz.de/10012044263

Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree

Chen, Fu-Hsiang; Chi, Der-Jang; Wang, Yi-Cheng - In: Economic modelling 46 (2015), pp. 1-10

Persistent link: https://www.econbiz.de/10011434701

A novel approach to model selection in tourism demand modeling

Akın, Melda - In: Tourism management : research, policies, practice 48 (2015), pp. 64-73

Persistent link: https://www.econbiz.de/10010508442

Detecting biotechnology industry's earnings management using Bayesian network, principal component analysis, back propagation neural network, and decision tree

Chen, Fu-Hsiang; Chi, Der-Jang; Wang, Yi-Cheng - In: Economic Modelling 46 (2015) C, pp. 1-10

C5.0 (decision tree) to detect if a company's earnings were seriously manipulated. The empirical results show that … combining the BN screening method with C5.0 decision tree has the best performance with an accuracy rate of 98.51%. From the …

Persistent link: https://www.econbiz.de/10011208946