Large-Scale Disk Failure Prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7 - May 15, 2020, Revised Selected Papers / edited by Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu.

Format:

Book

Contributor:

He, Cheng, editor.

Feng, Mengling, editor.

Lee, Patrick P. C., editor.

Wang, Pinghui, editor.

Han, Shujie, editor.

Liu, Yi (Editor), editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Communications in computer and information science 1865-0929 ; 1261.

Communications in Computer and Information Science, 1865-0929 ; 1261

Language:

English

Subjects (All):

Data mining.

Computer organization.

Microprogramming.

Artificial intelligence.

Data Mining and Knowledge Discovery.

Computer Systems Organization and Communication Networks.

Control Structures and Microprogramming.

Artificial Intelligence.

Local Subjects:

Data Mining and Knowledge Discovery.

Computer Systems Organization and Communication Networks.

Control Structures and Microprogramming.

Artificial Intelligence.

Physical Description:

1 online resource (X, 143 pages) : 96 illustrations, 40 illustrations in color.

Edition:

First edition 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Singapore : Imprint: Springer, 2020.

System Details:

text file PDF

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, et cetera.

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.

Other Format:

Printed edition:

ISBN:

978-981-15-7749-9

9789811577499

Access Restriction:

Restricted for use by site license.