Wenjia Niu (ed.); Gang Li (ed.); Jiqiang Liu (ed.); Jianlong Tan (ed.); Li Guo (ed.); Zhen Han (ed.); Lynn Batten (ed.) Springer (2015) Pehmeäkantinen kirja
Weijiang Chen (ed.); Qingxin Yang (ed.); Laili Wang (ed.); Dingxin Liu (ed.); Xiaogang Han (ed.); Guodong Meng (ed.) Springer (2021) Kovakantinen kirja
Weijiang Chen (ed.); Qingxin Yang (ed.); Laili Wang (ed.); Dingxin Liu (ed.); Xiaogang Han (ed.); Guodong Meng (ed.) Springer (2022) Pehmeäkantinen kirja
Maosong Sun (ed.); Jiye Liang (ed.); Xianpei Han (ed.); Zhiyuan Liu (ed.); Yulan He (ed.); Gaoqi Rao (ed.); Yubo (ed Chen Springer (2024) Pehmeäkantinen kirja
Karl R. Lang (ed.); Jennifer Xu (ed.); Bin Zhu (ed.); Xiao Liu (ed.); Michael J. Shaw (ed.); Han Zhang (ed.); Ming (e Fan Springer (2021) Pehmeäkantinen 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.