Libro Large-Scale Disk Failure Prediction: Pakdd 2020 Competition and Workshop, AI Ops 2020, February 7 - De He, Cheng ; Feng, Mengling ; Lee, Patrick P. C.

portada Large-Scale Disk Failure Prediction: Pakdd 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, 2020, Revised Selected Papers

Formato

Libro Físico

Editorial

Springer

Autor

He, Cheng ; Feng, Mengling ; Lee, Patrick P. C.

Idioma

Inglés

N° páginas

143

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.8 cm

Peso

0.23 kg.

ISBN13

9789811577482

Categorías

Hardware | soporte físico del ordenador
Data mining: minería de datos
Redes y comunicaciones informáticas

Large-Scale Disk Failure Prediction: Pakdd 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, 2020, Revised Selected Papers

He, Cheng ; Feng, Mengling ; Lee, Patrick P. C. (Autor) · Springer · Tapa Blanda

Sin Stock

Reseña del libro "Large-Scale Disk Failure Prediction: Pakdd 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, 2020, Revised Selected Papers"

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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Large-Scale Disk Failure Prediction: Pakdd 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, 2020, Revised Selected Papers - He, Cheng ; Feng, Mengling ; Lee, Patrick P. C.

Reseña del libro "Large-Scale Disk Failure Prediction: Pakdd 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, 2020, Revised Selected Papers"

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