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245	1	0	_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		1	_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	1		_aCommunications in Computer and Information Science, _x1865-0937 ; _v1943
505	0		_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		0	_aData mining.
650		0	_aArtificial intelligence.
650		0	_aImage processing _xDigital techniques.
650		0	_aComputer vision.
650		0	_aEducation _xData processing.
650		0	_aComputer science _xMathematics.
650	1	4	_aData Mining and Knowledge Discovery.
650	2	4	_aArtificial Intelligence.
650	2	4	_aComputer Imaging, Vision, Pattern Recognition and Graphics.
650	2	4	_aComputers and Education.
650	2	4	_aMathematics of Computing.
700	1		_aBenavides-Prado, Diana. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aErfani, Sarah. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aFournier-Viger, Philippe. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aBoo, Yee Ling. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aKoh, Yun Sing. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789819986958
776	0	8	_iPrinted edition: _z9789819986972
830		0	_aCommunications in Computer and Information Science, _x1865-0937 ; _v1943
856	4	0	_uhttps://doi.org/10.1007/978-981-99-8696-5
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