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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

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 competi...

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Bibliographic Details
Other Authors: He, Cheng (Editor), Feng, Mengling (Editor), Lee, Patrick P. C. (Editor), Wang, Pinghui (Editor)
Format: eBook
Language:English
Published: Singapore Springer Nature Singapore 2020, 2020
Edition:1st ed. 2020
Series:Communications in Computer and Information Science
Subjects:
Microprogramming 
Artificial Intelligence
Data Mining
Computer Networks 
Control Structures And Microprogramming
Computer Engineering And Networks
Computer Engineering
Data Mining And Knowledge Discovery
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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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