The Resource Large-scale disk failure prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers, Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.)
Large-scale disk failure prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers, Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.)
Resource Information
The item Large-scale disk failure prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers, Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.This item is available to borrow from 1 library branch.
Resource Information
The item Large-scale disk failure prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers, Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.) represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in Sydney Jones Library, University of Liverpool.
This item is available to borrow from 1 library branch.
- 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, etc
- Language
- eng
- Extent
- 1 online resource
- Note
-
- Includes author index
- "Due to the COVID-19 pandemic, the workshop was hosted online."
- 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
- Isbn
- 9789811577499
- Label
- Large-scale disk failure prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers
- Title
- Large-scale disk failure prediction
- Title remainder
- PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers
- Statement of responsibility
- Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.)
- Title variation
- AI Ops 2020
- Language
- eng
- 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, etc
- Cataloging source
- YDX
- Dewey number
- 006.3/12
- Index
- index present
- LC call number
- QA76.9.D343
- Literary form
- non fiction
- http://bibfra.me/vocab/lite/meetingDate
- 2020
- http://bibfra.me/vocab/lite/meetingName
- Pacific-Asia Conference on Knowledge Discovery and Data Mining
- Nature of contents
- dictionaries
- http://library.link/vocab/relatedWorkOrContributorName
-
- He, Cheng
- Feng, Mengling
- Lee, Patrick P. C.
- Wang, Pinghui
- Han, Shujie
- Liu, Yi
- Alibaba AI Ops Competition on Large-Scale Disk Failure Prediction
- Series statement
- Communications in Computer and Information Science,
- Series volume
- 1261
- http://library.link/vocab/subjectName
- Data mining
- Label
- Large-scale disk failure prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers, Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.)
- Note
-
- Includes author index
- "Due to the COVID-19 pandemic, the workshop was hosted online."
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- 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
- Dimensions
- unknown
- Extent
- 1 online resource
- Form of item
- online
- Isbn
- 9789811577499
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 10.1007/978-981-15-7749-9
- 10.1007/978-981-15-7
- Specific material designation
- remote
- System control number
-
- on1183723718
- (OCoLC)1183723718
- Label
- Large-scale disk failure prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers, Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.)
- Note
-
- Includes author index
- "Due to the COVID-19 pandemic, the workshop was hosted online."
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- 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
- Dimensions
- unknown
- Extent
- 1 online resource
- Form of item
- online
- Isbn
- 9789811577499
- Media category
- computer
- Media MARC source
- rdamedia
- Media type code
-
- c
- Other control number
-
- 10.1007/978-981-15-7749-9
- 10.1007/978-981-15-7
- Specific material designation
- remote
- System control number
-
- on1183723718
- (OCoLC)1183723718
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.liverpool.ac.uk/portal/Large-scale-disk-failure-prediction--PAKDD-2020/whpc-z0SJQU/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.liverpool.ac.uk/portal/Large-scale-disk-failure-prediction--PAKDD-2020/whpc-z0SJQU/">Large-scale disk failure prediction : PAKDD 2020 Competition and Workshop, AI Ops 2020, February 7-May 15, 2020, Revised selected papers, Cheng He, Mengling Feng, Patrick P. C. Lee, Pinghui Wang, Shujie Han, Yi Liu (eds.)</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.liverpool.ac.uk/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.liverpool.ac.uk/">Sydney Jones Library, University of Liverpool</a></span></span></span></span></div>
