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

by Yue Xu (Editor), Rosalind Wang (Editor), Anton Lord (Editor), Yee Ling Boo (Editor), Richi Nayak (Editor)

Overview

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.

Product Details

ISBN-13:	9789811685309
Publisher:	Springer Nature Singapore
Publication date:	12/09/2021
Series:	Communications in Computer and Information Science , #1504
Edition description:	1st ed. 2021
Pages:	235
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of 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.