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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

K-means clustering combined with principal component analysis for material profiling in automotive supply chains

Gonçalves, João N. C.; Cortez, Paulo; Carvalho, M. Sameiro - In: European journal of industrial engineering : EJIE 15 (2021) 2, pp. 273-294

Persistent link: https://www.econbiz.de/10012504330

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

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

Persistent link: https://www.econbiz.de/10011656506

A multi-attribute data mining model for rule extraction and service operations benchmarking

Amoozad Mahdiraji, Hannan; Tavana, Madjid; Mahdiani, Pouya - In: Benchmarking : an international journal 29 (2022) 2, pp. 456-495

Persistent link: https://www.econbiz.de/10013040777

Cluster-based convolution process on big data in privacy preserving data mining

Lalitha, R.; Rameshkumar, K. - In: International journal of business information systems : … 38 (2021) 1, pp. 17-33

Persistent link: https://www.econbiz.de/10012695119

Household electricity load forecasting toward demand response program using data mining techniques in a traditional power grid

AbuBaker, Maher - In: International Journal of Energy Economics and Policy : IJEEP 11 (2021) 4, pp. 132-148

Persistent link: https://www.econbiz.de/10012623406

An approach of improving decision tree classifier using condensed informative data

Panhalkar, Archana R.; Doye, Dharmpal D. - In: Decision : official journal of Indian Institute of … 47 (2020) 4, pp. 431-445

Persistent link: https://www.econbiz.de/10012485352

Applications of data analytics : cluster analysis of not-for-profit data

Alzamil, Zamil S.; Appelbaum, Deniz; Glasgall, William; … - In: The journal of information systems : JIS ; a semiannual … 35 (2021) 3, pp. 199-221

Persistent link: https://www.econbiz.de/10012793317

A novel two-stage hybrid default prediction model with k-means clustering and support vector domain description

Yuan, Kunpeng; Chi, Guotai; Zhou, Ying; Yin, Hailei - In: Research in international business and finance 59 (2022), pp. 1-24

Persistent link: https://www.econbiz.de/10013402102

A new in-form and role-based Deep Player Performance Index for player evaluation in T20 Cricket

Prakash, C. Deep; Verma, Sanjay - In: Decision analytics journal 2 (2022)

Sports analytics has benefited immensely from the growth and popularity of Machine Learning algorithms. Machine Learning and Data Mining advances have enabled sports analysts to evaluate a player’s performance more effectively. A review of existing literature on player performance evaluation...

Persistent link: https://www.econbiz.de/10013163119