04627nam 22006735 450 991041608300332120200805145757.0981-15-7749-810.1007/978-981-15-7749-9(CKB)4100000011372980(DE-He213)978-981-15-7749-9(MiAaPQ)EBC6281980(PPN)250215217(EXLCZ)99410000001137298020200805d2020 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierLarge-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 Liu1st ed. 2020.Singapore :Springer Singapore :Imprint: Springer,2020.1 online resource (X, 143 p. 96 illus., 40 illus. in color.) Communications in Computer and Information Science,1865-0929 ;1261981-15-7748-X 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.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.Communications in Computer and Information Science,1865-0929 ;1261Data miningComputer organizationMicroprogrammingArtificial intelligenceData Mining and Knowledge Discoveryhttps://scigraph.springernature.com/ontologies/product-market-codes/I18030Computer Systems Organization and Communication Networkshttps://scigraph.springernature.com/ontologies/product-market-codes/I13006Control Structures and Microprogramminghttps://scigraph.springernature.com/ontologies/product-market-codes/I12018Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Data mining.Computer organization.Microprogramming.Artificial intelligence.Data Mining and Knowledge Discovery.Computer Systems Organization and Communication Networks.Control Structures and Microprogramming.Artificial Intelligence.006.3He Chengedthttp://id.loc.gov/vocabulary/relators/edtFeng Menglingedthttp://id.loc.gov/vocabulary/relators/edtLee Patrick P. Cedthttp://id.loc.gov/vocabulary/relators/edtWang Pinghuiedthttp://id.loc.gov/vocabulary/relators/edtHan Shujieedthttp://id.loc.gov/vocabulary/relators/edtLiu Yiedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910416083003321Large-Scale Disk Failure Prediction1914822UNINA