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Large-Scale Disk Failure Prediction: PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, Revised Selected Papers
Coles
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Large-Scale Disk Failure Prediction: PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, Revised Selected Papers in Vernon, BC
Current price: $64.49
Original price: $80.62

Coles
Large-Scale Disk Failure Prediction: PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, Revised Selected Papers in Vernon, BC
Current price: $64.49
Original price: $80.62
Loading Inventory...
Size: Kobo eBook
*Product information may vary - to confirm product availability, pricing, shipping and return information please contact Coles
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 24 th 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.
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 24 th 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.



















