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Data Mining

17th Australasian Conference, AusDM 2019, Adelaide, SA, Australia, December 2–5, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Thuc D. Le

    1. School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, Australia

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  2. Kok-Leong Ong

    1. La Trobe University, Melbourne, Australia

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  3. Yanchang Zhao

    1. CSIRO Scientific Computing, Canberra, Australia

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  4. Warren H. Jin

    1. CSIRO Scientific Computing, Canberra, Australia

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  5. Sebastien Wong

    1. Consilium Technology, Adelaide, Australia

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  6. Lin Liu

    1. School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, Australia

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  7. Graham Williams

    1. Microsoft Proprietary Limited, Singapore, Singapore

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1127)

Included in the following conference series:

Conference proceedings info: AusDM 2019.

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xii
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  2. Research Track

    1. Front Matter

      Pages 1-1
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    2. Improving Clustering via a Fine-Grained Parallel Genetic Algorithm with Information Sharing

      • Storm Bartlett, Md Zahidul Islam
      Pages 3-15

    3. A Learning Approach for Ill-Posed Optimisation Problems

      • Jörg Frochte, Stephen Marsland
      Pages 16-27

    4. Topic Representation using Semantic-Based Patterns

      • Dakshi Kapugama Geeganage, Yue Xu, Yuefeng Li
      Pages 28-40

    5. Outlier Detection Based Accurate Geocoding of Historical Addresses

      • Nishadi Kirielle, Peter Christen, Thilina Ranbaduge
      Pages 41-53

    6. SPDF: Set Probabilistic Distance Features for Prediction of Population Health Outcomes via Social Media

      • Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
      Pages 54-63

    7. Estimating County Health Indices Using Graph Neural Networks

      • Hung Nguyen, Duc Thanh Nguyen, Thin Nguyen
      Pages 64-76

    8. Joint Sequential Data Prediction with Multi-stream Stacked LSTM Network

      • Nguyen Thanh Toan, Orçun Gümüş, Nguyen Thanh Tam, Nguyen Quoc Viet Hung, Rene Hexel, Jun Jo
      Pages 77-90

    9. Show Me Your Friends and I’ll Tell You Who You Are. Finding Anomalous Time Series by Conspicuous Cluster Transitions

      • Martha Tatusch, Gerhard Klassen, Marcus Bravidor, Stefan Conrad
      Pages 91-103

    10. Applying Softmax Classifiers to Open Set

      • Darren Webb
      Pages 104-115

    11. An Efficient Risk Data Learning with LSTM RNN

      • Ka Yee Wong, Raymond K. Wong
      Pages 116-128

    12. Using Transfer Learning to Detect Phishing in Countries with a Small Population

      • Wernsen Wong, Yun Sing Koh, Gillian Dobbie
      Pages 129-140

  3. Application Track

    1. Front Matter

      Pages 141-141
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    2. Classifying Imbalanced Road Accident Data Using Recurring Concept Drift

      • Robert Anderson, Yun Sing Koh, Gillian Dobbie
      Pages 143-155

    3. Interpretability of Machine Learning Solutions in Industrial Decision Engineering

      • Inna Kolyshkina, Simeon Simoff
      Pages 156-170

    4. Customer Wallet Share Estimation for Manufacturers Based on Transaction Data

      • Xiang Li, Ali Shemshadi, Łukasz P. Olech, Zbigniew Michalewicz
      Pages 171-182

    5. Curtailing the Tax Leakages by Nabbing Return Defaulters in Taxation System

      • Priya Mehta, Jithin Mathews, Sandeep Kumar, K. Suryamukhi, Ch Sobhan Babu
      Pages 183-195

    6. Network Path Estimation in Uncertain Data via Entity Resolution

      • Dean Philp, Naomi Chan, Wolfgang Mayer
      Pages 196-207

    7. Interactive Deep Metric Learning for Healthcare Cohort Discovery

      • Yang Wang, Guodong Long, Xueping Peng, Allison Clarke, Robin Stevenson, Leah Gerrard
      Pages 208-221
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  1. Data Mining

Keywords

About this book

This book constitutes the refereed proceedings of the 17th Australasian Conference on Data Mining, AusDM 2019, held in Adelaide, SA, Australia, in December 2019.

The 20 revised full papers presented were carefully reviewed and selected from 56 submissions. The papers are organized in sections on research track, application track, and industry showcase. 

Editors and Affiliations

  • School of Information Technology and Mathematical Sciences, University of South Australia, Adelaide, Australia

    Thuc D. Le, Lin Liu

  • La Trobe University, Melbourne, Australia

    Kok-Leong Ong

  • CSIRO Scientific Computing, Canberra, Australia

    Yanchang Zhao, Warren H. Jin

  • Consilium Technology, Adelaide, Australia

    Sebastien Wong

  • Microsoft Proprietary Limited, Singapore, Singapore

    Graham Williams

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