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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 / Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.).

Pacific-Asia Conference on Knowledge Discovery and Data Mining (24th : 2020 : Online); He, Cheng, editor.; Feng, Mengling, editor.; Lee, Patrick P. C., editor.; Wang, Pinghui, editor.; Han, Shujie, editor.; Liu, Yi, editor.; Alibaba AI Ops Competition on Large-Scale Disk Failure Prediction.
2020
QA76.9.D343
Available Online
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Title
Large-scale disk failure prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers / Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.).
Meeting Name
Pacific-Asia Conference on Knowledge Discovery and Data Mining (24th : 2020 : Online)
ISBN
9789811577499 (electronic book)
9811577498 (electronic book)
981157748X
9789811577482
DOI
https://doi.org/10.1007/978-981-15-7749-9
https://doi.org/10.1007/978-981-15-7
Publication Details
Singapore : Springer, 2020.
Language
English
Description
1 online resource
Item Number
10.1007/978-981-15-7749-9 doi
10.1007/978-981-15-7
Call Number
QA76.9.D343
Dewey Decimal Classification
006.3/12
Summary
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.
Note
Includes author index.
"Due to the COVID-19 pandemic, the workshop was hosted online."
Access Note
Access limited to authorized users.
Added Author
He, Cheng, editor.
Feng, Mengling, editor.
Lee, Patrick P. C., editor.
Wang, Pinghui, editor.
Han, Shujie, editor.
Liu, Yi, editor.
Added Corporate Author
Alibaba AI Ops Competition on Large-Scale Disk Failure Prediction.
Series
Communications in computer and information science ; 1261.
Available in Other Form
Print version: 9789811577482
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All Resources
An Introduction to PAKDD CUP 2020 Dataset
PAKDD 2020 Alibaba AIOps Competition-Large-scale Disk Failure Prediction: Third Place Team
A Voting-based Robust Model for Disk Failure Prediction
First place solution of PAKDD Cup 2020
Anomaly Detection of Hard Disk Drives based on Multi-scale Feature
Disk Failure Prediction: an in-depth comparison between deep neural networks and tree-based models
PAKDD2020 Alibaba AI Ops Competition: Large-Scale Disk Failure Prediction
SHARP: SMART HDD Anomaly Risk Prediction
Tree-based model with advanced data preprocessing for large scale hard disk failure prediction
PAKDD2020 Alibaba AI Ops Competition: An SPE-LightGBM Approach
Noise Feature Selection Method in PAKDD 2020 Alibaba AI Ops Competition: Large-Scale Disk Failure Prediction
Characterizing and Modeling for Proactive Disk Failure Prediction to Improve Reliability of Data Centers
Summary of PAKDD CUP 2020: From Organizers Perspective.

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