Name: Large-Scale Disk Failure Prediction: Pakdd 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, 2020, Revised Selected Papers (en Inglés)
SKU: 59383549
Price: 156920.00 COP
Availability: InStock
Author: He, Cheng ; Feng, Mengling ; Lee, Patrick P. C.
ISBN: 9789811577482

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

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

Formato

Libro Físico

Editorial

Springer

Autor

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

Idioma

Inglés

N° páginas

143

Encuadernación

Tapa Blanda

Dimensiones

23.4x15.6x0.8 cm

Peso

0.23 kg.

ISBN13

9789811577482

Categorías

Hardware (o soporte físico del ordenador)
Minería de datos («data mining»)
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 (en Inglés)

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

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

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.