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020		▼a9789819986965▼9978-981-99-8696-5
024		▼a10.1007/978-981-99-8696-5▼2doi
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245	00	▼aData Science and Machine Learning▼h[electronic resource] :▼b21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings /▼cedited by Diana Benavides-Prado, Sarah Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh.
250		▼a1st ed. 2024.
264		▼aSingapore :▼bSpringer Nature Singapore :▼bImprint: Springer,▼c2024.
300		▼aXII, 300 p. 94 illus., 83 illus. in color.▼bonline resource.
336		▼atext▼btxt▼2rdacontent
337		▼acomputer▼bc▼2rdamedia
338		▼aonline resource▼bcr▼2rdacarrier
347		▼atext file▼bPDF▼2rda
490		▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v1943
505		▼aResearch Track: Random Padding Data Augmentation -- Unsupervised Fraud Detection on Sparse Rating Networks -- Semi-Supervised Model-Based Clustering for Ordinal Data -- Damage GAN: A Generative Model for Imbalanced Data -- Text-Conditioned Graph Generation Using Discrete Graph Variational Autoencoders -- Boosting QA Performance through SA-Net and AA-Net with the Read+Verify Framework -- Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives -- Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes -- MStoCast: Multimodal Deep Network for Stock Market Forecast. -- Few Shot and Transfer Learning with Manifold Distributed Datasets -- Mitigating The Adverse Effects of Long-tailed Data on Deep Learning Models -- Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression -- Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators -- Application Track: Multi-Dimensional Data Visualization for Analyzing Materials -- Law in Order: An Open Legal Citation Network for New Zealand -- Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches -- A Comparison of One-Class versus Two-Class Machine Learning Models for Wildfire Prediction in California -- Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming -- Comparison of Interpolation Techniques for Prolonged Exposure Estimation: A Case Study on Seven years of Daily Nitrogen Oxide in Greater Sydney -- Detecting Asthma Presentations from Emergency Department Notes: An Active Learning Approach.
520		▼aThis book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11–13, 2023. The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: research track and application track. They deal with topics around data science and machine learning in everyday life. .
650		▼aData mining.
650		▼aArtificial intelligence.
650		▼aImage processing▼xDigital techniques.
650		▼aComputer vision.
650		▼aEducation▼xData processing.
650		▼aComputer science▼xMathematics.
650		▼aData Mining and Knowledge Discovery.
650		▼aArtificial Intelligence.
650		▼aComputer Imaging, Vision, Pattern Recognition and Graphics.
650		▼aComputers and Education.
650		▼aMathematics of Computing.
700		▼aBenavides-Prado, Diana.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aErfani, Sarah.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼aFournier-Viger, Philippe.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
700		▼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		▼aKoh, Yun Sing.▼eeditor.▼4edt▼4http://id.loc.gov/vocabulary/relators/edt
710		▼aSpringerLink (Online service)
773		▼tSpringer Nature eBook
776		▼iPrinted edition:▼z9789819986958
776		▼iPrinted edition:▼z9789819986972
830		▼aCommunications in Computer and Information Science,▼x1865-0937 ;▼v1943
856		▼uhttps://doi.org/10.1007/978-981-99-8696-5
912		▼aZDB-2-SCS
912		▼aZDB-2-SXCS
950		▼aComputer Science (SpringerNature-11645)
950		▼aComputer Science (R0) (SpringerNature-43710)

Data Science and Machine Learning[electronic resource] :21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11–13, 2023, Proceedings /edited by Diana Benavides-Prado, Sarah Erfani, Philippe Fournier-Viger, Yee Ling Boo, Yun Sing Koh

종류

전자책

서명

저자명

Benavides-Prado Diana. editor Erfani Sarah. editor Fournier-Viger Philippe. editor Boo Yee Ling. editor Koh Yun Sing. editor

판 사항

1st ed. 2024.

형태사항

XII, 300 p 94 illus, 83 illus in color online resource.

주기사항

This book constitutes the proceedings of the 21st Australasian Conference on Data Science and Machine Learning, AusDM 2023, held in Auckland, New Zealand, during December 11–13, 2023. The 20 full papers presented in this book were carefully reviewed and selected from 50 submissions. The papers are organized in the following topical sections: research track and application track. They deal with topics around data science and machine learning in everyday life. .

내용주기

Research Track: Random Padding Data Augmentation / Unsupervised Fraud Detection on Sparse Rating Networks / Semi-Supervised Model-Based Clustering for Ordinal Data / Damage GAN: A Generative Model for Imbalanced Data / Text-Conditioned Graph Generation Using Discrete Graph Variational Autoencoders / Boosting QA Performance through SA-Net and AA-Net with the Read+Verify Framework / Anomaly Detection Algorithms: Comparative Analysis and Explainability Perspectives / Towards Fairness and Privacy: A Novel Data Pre-processing Optimization Framework for Non-binary Protected Attributes / MStoCast: Multimodal Deep Network for Stock Market Forecast. / Few Shot and Transfer Learning with Manifold Distributed Datasets / Mitigating The Adverse Effects of Long-tailed Data on Deep Learning Models / Shapley Value Based Feature Selection to Improve Generalization of Genetic Programming for High-Dimensional Symbolic Regression / Hybrid Models for Predicting Cryptocurrency Price Using Financial and Non-Financial Indicators / Application Track: Multi-Dimensional Data Visualization for Analyzing Materials / Law in Order: An Open Legal Citation Network for New Zealand / Enhancing Resource Allocation in IT Projects: The Potentials of Deep Learning-Based Recommendation Systems and Data-Driven Approaches / A Comparison of One-Class versus Two-Class Machine Learning Models for Wildfire Prediction in California / Skin Cancer Detection with Multimodal Data: A Feature Selection Approach Using Genetic Programming / Comparison of Interpolation Techniques for Prolonged Exposure Estimation: A Case Study on Seven years of Daily Nitrogen Oxide in Greater Sydney / Detecting Asthma Presentations from Emergency Department Notes: An Active Learning Approach.

ISBN

9789819986965

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