Large-Scale Disk Failure Prediction - PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, 2020, Revised Selected Papers (Paperback, 1st ed. 2020)


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.

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Product Description

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.

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Product Details

General

Imprint

Springer Verlag, Singapore

Country of origin

Singapore

Series

Communications in Computer and Information Science, 1261

Release date

August 2020

Availability

Expected to ship within 10 - 15 working days

First published

2020

Editors

, , , , ,

Dimensions

235 x 155mm (L x W)

Format

Paperback

Pages

143

Edition

1st ed. 2020

ISBN-13

978-981-15-7748-2

Barcode

9789811577482

Categories

LSN

981-15-7748-X



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