Data Mining 19th Australasian Conference on Data Mining, AusDM 2021, Brisbane, QLD, Australia, December 14-15, 2021, Proceedings /
Data Mining 19th 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, 1504 1865-0937 ; .
- Communications in Computer and Information Science, 1504 .
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. .
9789811685316
10.1007/978-981-16-8531-6 doi
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.
QA76.9.D343
006.312
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. .
9789811685316
10.1007/978-981-16-8531-6 doi
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.
QA76.9.D343
006.312