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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.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- Communications in computer and information science 1865-0937 ; 1504
- Communications in Computer and Information Science, 1865-0937 ; 1504
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- 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.
- Physical Description:
- 1 online resource (XII, 235 pages) : 61 illustrations, 45 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- 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. .
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-981-16-8531-6
- 9789811685316
- Access Restriction:
- Restricted for use by site license.
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