Hongzhi Wang (ed.); Haoliang Qi (ed.); Wanxiang Che (ed.); Zhaowen Qiu (ed.); Leilei Kong (ed.); Zhongyuan Han (ed.); Lin Springer (2015) Pehmeäkantinen kirja
Wanxiang Che (ed.); Qilong Han (ed.); Hongzhi Wang (ed.); Weipeng Jing (ed.); Shaoliang Peng (ed.); Junyu Lin (ed.); Sun Springer (2016) Pehmeäkantinen kirja
Wanxiang Che (ed.); Qilong Han (ed.); Hongzhi Wang (ed.); Weipeng Jing (ed.); Shaoliang Peng (ed.); Junyu Lin (ed.); Sun Springer (2016) Pehmeäkantinen kirja
Weijiang Chen (ed.); Qingxin Yang (ed.); Laili Wang (ed.); Dingxin Liu (ed.); Xiaogang Han (ed.); Guodong Meng (ed.) Springer (2021) Kovakantinen kirja
This book constitutes the thoroughly refereed post-competition proceedings of the AI Ops Competition on Large-Scale Disk Failure Prediction, conducted between February 7th and May 15, 2020 on the Alibaba Cloud Tianchi Platform. A dedicated workshop, featuring the best performing teams of the competition, was held at the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020, in Singapore, in April 2019. Due to the COVID-19 pandemic, the workshop was hosted online.
This book includes 13 selected contributions: an introduction to dataset, selected approaches of the competing teams and the competition summary, describing the competition task, practical challenges, evaluation metrics, etc.
