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Record Nr. |
UNINA9910513692403321 |
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Titolo |
Data Mining : 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 |
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Pubbl/distr/stampa |
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Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
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ISBN |
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Edizione |
[1st ed. 2021.] |
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Descrizione fisica |
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1 online resource (244 pages) |
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Collana |
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Communications in Computer and Information Science, , 1865-0937 ; ; 1504 |
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Disciplina |
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Soggetti |
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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 |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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 |
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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. |
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Sommario/riassunto |
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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. . |
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