國立高雄大學圖資館 |

Language: English

Back

Data science and machine learning21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023 : proceedings /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science and machine learningedited by Diana Benavides-Prado ... [et al.].
Reminder of title:	21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023 : proceedings /
remainder title:	AusDM 2023
other author:	Benavides-Prado, Diana.
corporate name:
Published:	Singapore :Springer Nature Singapore :2024.
Description:	xii, 300 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Data miningCongresses.
Online resource:	https://doi.org/10.1007/978-981-99-8696-5
ISBN:	9789819986965$q(electronic bk.)

Data science and machine learning21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023 : proceedings /
Data science and machine learning21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023 : proceedings /[electronic resource] :AusDM 2023edited by Diana Benavides-Prado ... [et al.]. - Singapore :Springer Nature Singapore :2024. - xii, 300 p. :ill., digital ;24 cm. - Communications in computer and information science,19431865-0937 ;. - Communications in computer and information science ;229..

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.

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.

ISBN: 9789819986965$q(electronic bk.)

Standard No.: 10.1007/978-981-99-8696-5doiSubjects--Topical Terms:

380776
Data mining
--Congresses.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Data science and machine learning21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023 : proceedings /
LDR:03487nmm a2200373 a 4500 001 660476
003 DE-He213
005 20231204171132.0
006 m d
007 cr nn 008maaau
008 241106s2024 si s 0 eng d
020 $a 9789819986965$q(electronic bk.)
020 $a 9789819986958$q(paper)
024 7 $a 10.1007/978-981-99-8696-5 $2 doi
035 $a 978-981-99-8696-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA76.9.D343
072 7 $a UNF $2 bicssc
072 7 $a UYQE $2 bicssc
072 7 $a COM021030 $2 bisacsh
072 7 $a UNF $2 thema
072 7 $a UYQE $2 thema
082 0 4 $a 006.312 $2 23
090 $a QA76.9.D343 $b A932 2023
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Data science and machine learning $h [electronic resource] : $b 21st Australasian Conference, AusDM 2023, Auckland, New Zealand, December 11-13, 2023 : proceedings / $c edited by Diana Benavides-Prado ... [et al.].
246 3 $a AusDM 2023
260 $a Singapore : $b Springer Nature Singapore : $b Imprint: Springer, $c 2024.
300 $a xii, 300 p. : $b ill., digital ; $c 24 cm.
490 1 $a Communications in computer and information science, $x 1865-0937 ; $v 1943
505 0 $a 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.
520 $a 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.
650 0 $a Data mining $v Congresses. $3 380776
650 1 4 $a Data Mining and Knowledge Discovery. $3 275288
650 2 4 $a Artificial Intelligence. $3 212515
650 2 4 $a Computer Imaging, Vision, Pattern Recognition and Graphics. $3 274492
650 2 4 $a Computers and Education. $3 274532
650 2 4 $a Mathematics of Computing. $3 273710
700 1 $a Benavides-Prado, Diana. $3 971804
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
830 0 $a Communications in computer and information science ; $v 229. $3 547963
856 4 0 $u https://doi.org/10.1007/978-981-99-8696-5
950 $a Computer Science (SpringerNature-11645)