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Data Mining = 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Data Mining/ edited by Yue Xu, Rosalind Wang, Anton Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham Williams.
其他題名:	19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings /
其他作者:	Xu, Yue.
面頁冊數:	XII, 235 p. 61 illus., 45 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-981-16-8531-6
ISBN:	9789811685316

Data Mining = 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings /
Data Mining19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings /[electronic resource] :edited by Yue Xu, Rosalind Wang, Anton Lord, Yee Ling Boo, Richi Nayak, Yanchang Zhao, Graham Williams. - 1st ed. 2021. - XII, 235 p. 61 illus., 45 illus. in color.online resource. - Communications in Computer and Information Science,15041865-0937 ;. - Communications in Computer and Information Science,498.

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.

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. .

ISBN: 9789811685316

Standard No.: 10.1007/978-981-16-8531-6doiSubjects--Topical Terms:

528622
Data mining.

LC Class. No.: QA76.9.D343

Dewey Class. No.: 006.312

Data Mining = 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings /
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