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A comparison of data mining techniques for credit scoring in banking : a managerial perspective

Ince, Huseyin; Aktan, Bora - In: Journal of business economics and management 10 (2009) 3, pp. 233-240

Persistent link: https://www.econbiz.de/10003944097

The study of real time scheduling by an intelligent multi-controller approach

Guh, Ruey-shiang; Shiue, Yeou-ren; Tseng, Tsung-yuan - In: International journal of production research 49 (2011) 10/11, pp. 2977-2997

Persistent link: https://www.econbiz.de/10008988008

Neural network analysis of right-censored observations for occurrence time predictions

Ryu, Young; Kim, Jae Kyeong; Im, Kwang Hyuk; Hong, Hankuk - In: E-Life: web-enabled convergence of commerce, work, and …, (pp. 100-109). 2012

Persistent link: https://www.econbiz.de/10009548185

Dynamical clustering of streaming data with a growing neural gas network

Migdał-Najman, Kamila; Najman, Krzysztof - In: Acta scientiarum polonorum / Oeconomia : czasopismo … 14 (2015) 3, pp. 95-104

Persistent link: https://www.econbiz.de/10011381473

Improving accuracy of students' final grade prediction model using optimal equal width binning and synthetic minority over-sampling technique

Jishan, Syed; Rashu, Raisul; Haque, Naheena; Rahman, … - In: Decision Analytics 2 (2015), pp. 1-25

There is a perpetual elevation in demand for higher education in the last decade all over the world; therefore, the need for improving the education system is imminent. Educational data mining is a newly-visible area in the field of data mining and it can be applied to better understanding the...

Persistent link: https://www.econbiz.de/10010531019

Improving short-term demand forecasting for short-lifecycle consumer products with data mining techniques

Maaß, Dennis; Spruit, Marco René; Waal, Peter de - In: Decision Analytics 1 (2014), pp. 1-17

Today's economy is characterized by increased competition, faster product development and increased product differentiation. As a consequence product lifecycles become shorter and demand patterns become more volatile which especially affects the retail industry. This new situation imposes...

Persistent link: https://www.econbiz.de/10010338778