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

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. 

Inhaltsverzeichnis

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.

Produktdetails

• Mitarbeit: Yee Ling Boo (Herausgeber), Anton Lord (Herausgeber), Anton Lord et al (Herausgeber), Richi Nayak (Herausgeber), Rosalin Wang (Herausgeber), Rosalind Wang (Herausgeber), Graham Williams (Herausgeber), Yue Xu (Herausgeber), Yanchang Zhao (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 25.02.2022
• EAN: 9789811685309
• ISBN: 978-981-1685-30-9
• Seiten: 235
• Abmessung: 155 mm x 13 mm x 235 mm
• Illustration: XII, 235 p. 61 illus., 45 illus. in color.
• Serie: Communications in Computer and Information Science
• Thema: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik