소장자료
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003 | DE-He213▲ | ||
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020 | ▼a9789811685316▼9978-981-16-8531-6▲ | ||
024 | 7 | ▼a10.1007/978-981-16-8531-6▼2doi▲ | |
050 | 4 | ▼aQA76.9.D343▲ | |
082 | 0 | 4 | ▼a006.312▼223▲ |
245 | 1 | 0 | ▼aData Mining▼h[electronic resource] :▼b19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings /▼cedited by Yue Xu, Rosalind Wang, Anton Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham Williams.▲ |
250 | ▼a1st ed. 2021.▲ | ||
264 | 1 | ▼aSingapore :▼bSpringer Singapore :▼bImprint: Springer,▼c2021.▲ | |
300 | ▼aXII, 235 p. 61 illus., 45 illus. in color.▼bonline resource.▲ | ||
336 | ▼atext▼btxt▼2rdacontent▲ | ||
337 | ▼acomputer▼bc▼2rdamedia▲ | ||
338 | ▼aonline resource▼bcr▼2rdacarrier▲ | ||
347 | ▼atext file▼bPDF▼2rda▲ | ||
490 | 1 | ▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v1504▲ | |
505 | 0 | ▼aResearch Track -- Parallel Nonlinear Dimensionality Reduction Using GPU Acceleration -- Taking the Confusion out of Multinomial Confusion Matrices and Imbalanced Classes -- Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs -- A Drift Aware Hierarchical Test based Approach for Combating Spammers in Online Social Networks -- Hospital Readmission Prediction Using Semantic Relations Between Medical Codes -- HFM++: An Enhanced Holographic Factorization Machine for Recommendation -- Deep Learning for Bias Detection: From Inception to Deployment -- Exploring Fusion Strategies in Deep Learning Models for Multi-modal Classification -- Application Track -- Chameleon: A Python Workflow Toolkit for Feature Selection -- PostMatch: A Framework for Efficient Address Matching -- Detection of Classical Cipher Types with Feature-Learning Approach -- SOMPS-Net: Attention based Social Graph Framework for Early Detection of Fake Health News -- How to Read the News: A Study of How Sentiment Effects Financial Markets -- Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland -- A Semi-Automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry -- Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study.▲ | |
520 | ▼aThis book constitutes the refereed proceedings of the 19th Australasian Conference on Data Mining, AusDM 2021, held in Brisbane, Queensland, Australia, in December 2021.* The 16 revised full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in sections on research track and application track. *Due to the COVID-19 pandemic the conference was held online. .▲ | ||
650 | 0 | ▼aData mining.▲ | |
650 | 0 | ▼aArtificial intelligence.▲ | |
650 | 0 | ▼aApplication software.▲ | |
650 | 0 | ▼aSocial sciences—Data processing.▲ | |
650 | 0 | ▼aComputer engineering.▲ | |
650 | 0 | ▼aComputer networks .▲ | |
650 | 0 | ▼aComputer science—Mathematics.▲ | |
650 | 1 | 4 | ▼aData Mining and Knowledge Discovery.▲ |
650 | 2 | 4 | ▼aArtificial Intelligence.▲ |
650 | 2 | 4 | ▼aComputer and Information Systems Applications.▲ |
650 | 2 | 4 | ▼aComputer Application in Social and Behavioral Sciences.▲ |
650 | 2 | 4 | ▼aComputer Engineering and Networks.▲ |
650 | 2 | 4 | ▼aMathematics of Computing.▲ |
700 | 1 | ▼aXu, Yue.▼eeditor.▼0(orcid)0000-0002-1137-0272▼1https://orcid.org/0000-0002-1137-0272▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aWang, Rosalind.▼eeditor.▼0(orcid)0000-0001-5454-6197▼1https://orcid.org/0000-0001-5454-6197▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aLord, Anton.▼eeditor.▼0(orcid)0000-0003-2405-9827▼1https://orcid.org/0000-0003-2405-9827▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aBoo, Yee Ling.▼eeditor.▼0(orcid)0000-0001-7188-9597▼1https://orcid.org/0000-0001-7188-9597▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aNayak, Richi.▼eeditor.▼0(orcid)0000-0002-9954-0159▼1https://orcid.org/0000-0002-9954-0159▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aZhao, Yanchang.▼eeditor.▼0(orcid)0000-0002-0209-3971▼1https://orcid.org/0000-0002-0209-3971▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
700 | 1 | ▼aWilliams, Graham.▼eeditor.▼0(orcid)0000-0001-7041-4127▼1https://orcid.org/0000-0001-7041-4127▼4edt▼4http://id.loc.gov/vocabulary/relators/edt▲ | |
710 | 2 | ▼aSpringerLink (Online service)▲ | |
773 | 0 | ▼tSpringer Nature eBook▲ | |
776 | 0 | 8 | ▼iPrinted edition:▼z9789811685309▲ |
776 | 0 | 8 | ▼iPrinted edition:▼z9789811685323▲ |
830 | 0 | ▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v1504▲ | |
856 | 4 | 0 | ▼uhttps://doi.org/10.1007/978-981-16-8531-6▲ |
Data Mining[electronic resource] : 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings
자료유형
국외eBook
서명/책임사항
Data Mining [electronic resource] : 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings / edited by Yue Xu, Rosalind Wang, Anton Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham Williams.
판사항
1st ed. 2021.
형태사항
XII, 235 p. 61 illus., 45 illus. in color. online resource.
총서사항
Communications in Computer and Information Science , 1865-0937 ; 1504
Communications in Computer and Information Science , 1865-0937 ; 1504
Communications in Computer and Information Science , 1865-0937 ; 1504
내용주기
Research Track -- Parallel Nonlinear Dimensionality Reduction Using GPU Acceleration -- Taking the Confusion out of Multinomial Confusion Matrices and Imbalanced Classes -- Sharpshooting Most Beneficial Part of AUC for Detecting Malicious Logs -- A Drift Aware Hierarchical Test based Approach for Combating Spammers in Online Social Networks -- Hospital Readmission Prediction Using Semantic Relations Between Medical Codes -- HFM++: An Enhanced Holographic Factorization Machine for Recommendation -- Deep Learning for Bias Detection: From Inception to Deployment -- Exploring Fusion Strategies in Deep Learning Models for Multi-modal Classification -- Application Track -- Chameleon: A Python Workflow Toolkit for Feature Selection -- PostMatch: A Framework for Efficient Address Matching -- Detection of Classical Cipher Types with Feature-Learning Approach -- SOMPS-Net: Attention based Social Graph Framework for Early Detection of Fake Health News -- How to Read the News: A Study of How Sentiment Effects Financial Markets -- Investigation of Topic Modelling Methods for Understanding the Reports of the Mining Projects in Queensland -- A Semi-Automatic Data Extraction System for Heterogeneous Data Sources: A Case Study from Cotton Industry -- Nonnegative Matrix Factorization to Understand Spatio-Temporal Traffic Pattern Variations during COVID-19: A Case Study.
요약주기
This book constitutes the refereed proceedings of the 19th Australasian Conference on Data Mining, AusDM 2021, held in Brisbane, Queensland, Australia, in December 2021.* The 16 revised full papers presented were carefully reviewed and selected from 32 submissions. The papers are organized in sections on research track and application track. *Due to the COVID-19 pandemic the conference was held online. .
주제
Data mining.
Artificial intelligence.
Application software.
Social sciences—Data processing.
Computer engineering.
Computer networks .
Computer science—Mathematics.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Computer Engineering and Networks.
Mathematics of Computing.
Artificial intelligence.
Application software.
Social sciences—Data processing.
Computer engineering.
Computer networks .
Computer science—Mathematics.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Computer Engineering and Networks.
Mathematics of Computing.
ISBN
9789811685316
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