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Near-optimal feature selection for large databases
Yang, J.; Ólafsson, S. - In: Journal of the Operational Research Society : OR 60 (2009) 8, pp. 1045-1055
Persistent link: https://www.econbiz.de/10003881963
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An optimization approach to partitional data clustering
Kim, J.; Yang, J.; Ólafsson, S. - In: Journal of the Operational Research Society : OR 60 (2009) 8, pp. 1069-1084
Persistent link: https://www.econbiz.de/10003882008
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A static-dynamic strategy for spare part inventory systems with nonstationary stochastic demand
Hua, Z.; Yang, J.; Huang, F.; Xu, X. - In: Journal of the Operational Research Society : OR 60 (2009) 9, pp. 1254-1263
Persistent link: https://www.econbiz.de/10003884737
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An optimization approach to partitional data clustering
Kim, J.; Yang, J.; Ólafsson, S. - In: Journal of the Operational Research Society : OR 60 (2009) 8, pp. 1069-1084
Persistent link: https://www.econbiz.de/10008268789
Cover Image
Near-optimal feature selection for large databases
Yang, J.; Ólafsson, S. - In: Journal of the Operational Research Society : OR 60 (2009) 8, pp. 1045-1055
Persistent link: https://www.econbiz.de/10008268791
Cover Image
A static-dynamic strategy for spare part inventory systems with nonstationary stochastic demand
Hua, Z.; Yang, J.; Huang, F.; Xu, X. - In: Journal of the Operational Research Society : OR 60 (2009) 9, pp. 1254-1263
Persistent link: https://www.econbiz.de/10008283394
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A new approach of forecasting intermittent demand for spare parts inventories in the process industries
Hua, Z.S.; Zhang, B.; Yang, J.; Tan, D.S. - In: Journal of the Operational Research Society : OR 58 (2007) 1, pp. 52-61
Persistent link: https://www.econbiz.de/10007392222