Large-Scale Disk Failure Prediction
Springer Verlag, Singapore
978-981-15-7748-2 (ISBN)
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.
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.
| Erscheinungsdatum | 07.08.2020 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science ; 1261 |
| Zusatzinfo | 40 Illustrations, color; 56 Illustrations, black and white; X, 143 p. 96 illus., 40 illus. in color. |
| Verlagsort | Singapore |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Mathematik / Informatik ► Informatik ► Netzwerke | |
| Informatik ► Theorie / Studium ► Algorithmen | |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 981-15-7748-X / 981157748X |
| ISBN-13 | 978-981-15-7748-2 / 9789811577482 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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