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Large-Scale Disk Failure Prediction [[electronic resource] ] : 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
Large-Scale Disk Failure Prediction [[electronic resource] ] : 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
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (X, 143 p. 96 illus., 40 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Data mining
Computer organization
Microprogramming 
Artificial intelligence
Data Mining and Knowledge Discovery
Computer Systems Organization and Communication Networks
Control Structures and Microprogramming
Artificial Intelligence
ISBN 981-15-7749-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996465470003316
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
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
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (X, 143 p. 96 illus., 40 illus. in color.)
Disciplina 006.3
Collana Communications in Computer and Information Science
Soggetto topico Data mining
Computer organization
Microprogramming
Artificial intelligence
Data Mining and Knowledge Discovery
Computer Systems Organization and Communication Networks
Control Structures and Microprogramming
Artificial Intelligence
ISBN 981-15-7749-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910416083003321
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui