|
|
|
|
| LEADER |
03231nmm a2200397 u 4500 |
| 001 |
EB001901122 |
| 003 |
EBX01000000000000001064031 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
200911 ||| eng |
| 020 |
|
|
|a 9789811577499
|
| 100 |
1 |
|
|a He, Cheng
|e [editor]
|
| 245 |
0 |
0 |
|a Large-Scale Disk Failure Prediction
|h Elektronische Ressource
|b PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7 – May 15, 2020, Revised Selected Papers
|c edited by Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu
|
| 250 |
|
|
|a 1st ed. 2020
|
| 260 |
|
|
|a Singapore
|b Springer Nature Singapore
|c 2020, 2020
|
| 300 |
|
|
|a X, 143 p. 96 illus., 40 illus. in color
|b online resource
|
| 505 |
0 |
|
|a 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
|
| 653 |
|
|
|a Microprogramming
|
| 653 |
|
|
|a Artificial Intelligence
|
| 653 |
|
|
|a Data mining
|
| 653 |
|
|
|a Computer networks
|
| 653 |
|
|
|a Control Structures and Microprogramming
|
| 653 |
|
|
|a Computer Engineering and Networks
|
| 653 |
|
|
|a Artificial intelligence
|
| 653 |
|
|
|a Computer engineering
|
| 653 |
|
|
|a Data Mining and Knowledge Discovery
|
| 700 |
1 |
|
|a Feng, Mengling
|e [editor]
|
| 700 |
1 |
|
|a Lee, Patrick P. C.
|e [editor]
|
| 700 |
1 |
|
|a Wang, Pinghui
|e [editor]
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b Springer
|a Springer eBooks 2005-
|
| 490 |
0 |
|
|a Communications in Computer and Information Science
|
| 028 |
5 |
0 |
|a 10.1007/978-981-15-7749-9
|
| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-981-15-7749-9?nosfx=y
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 006.312
|
| 520 |
|
|
|a 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
|