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Big data empowered logistics services platform

Cheikhrouhou, Naoufel; De Vrieze, Paul; Giovannetti, … - 2016

Logistics section is one of the most important industrial sections to contribute to European economy. To improving efficiency and energy efficient of logistics, European Commission call new research theme "smart, green and integrated transport" in its H2020 program. The paper presents a version...

Persistent link: https://www.econbiz.de/10011597113

Robust ensemble learning for mining noisy data streams

Zhang, Peng; Zhu, Xingquan; Shi, Yong; Guo, Li; Wu, Xindong - In: Decision support systems : DSS ; the international journal 50 (2010/11) 2, pp. 469-479

Persistent link: https://www.econbiz.de/10008826226

Top 10 algorithms in data mining

Wu, Xindong; Kumar, Vipin; Quinlan, John Ross; Ghosh, … - In: Knowledge and information systems : an international journal 14 (2008) 1, pp. 1-37

Persistent link: https://www.econbiz.de/10003709645

On the prediction of claim duration for income protection insurance policyholders

Liu, Qing; Pitt, David C.; Wu, Xueyuan - In: Annals of actuarial science : publ. by the Institute of … 8 (2014) 1, pp. 42-62

Persistent link: https://www.econbiz.de/10010358005

How big data alters value creation : through the lens of big data competency

Wu, Xiaobo; Liang, Liping; Chen, Siyuan - In: Management decision 60 (2022) 3, pp. 707-734

Persistent link: https://www.econbiz.de/10013162861

Computing the minimum-support for mining frequent patterns

Zhang, Shichao; Wu, Xindong; Zhang, Chengqi; Lu, Jingli - In: Knowledge and information systems : an international journal 15 (2008) 2, pp. 233-257

Persistent link: https://www.econbiz.de/10003752074