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Advanced Data Mining and Applications

18th International Conference, ADMA 2022, Brisbane, QLD, Australia, November 28–30, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2022

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Editors:
  1. Weitong Chen

    1. The University of Adelaide, Adelaide, Australia

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  2. Lina Yao

    1. The University of New South Wales, Sydney, Australia

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  3. Taotao Cai

    1. Macquarie University, Sydney, Australia

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  4. Shirui Pan

    1. Griffith University, Brisbane, Australia

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  5. Tao Shen

    1. Microsoft, Beijing, China

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  6. Xue Li

    1. The University of Queensland, Brisbane, Australia

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13725)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ADMA 2022.

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About this book

The two-volume set LNAI 13725 and 13726 constitutes the proceedings of the 18th International Conference on Advanced Data Mining and Applications, ADMA 2022, which took place in Brisbane, Queensland, Australia, in November 2022. 


The 72 papers presented in the proceedings were carefully reviewed and selected from 198 submissions. The contributions were organized in topical sections as follows: Finance and Healthcare; Web and IoT Applications; On-device Application; Other Applications; Pattern Mining; Graph Mining; Text Mining; Image, Multimedia and Time Series Data Mining; Classification, Clustering and Recommendation; Multi-objective, Optimization, Augmentation, and Database; and Others.

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Keywords

Table of contents (37 papers)

  1. Front Matter

    Pages i-xxii
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  2. Finance and Healthcare

    1. Front Matter

      Pages 1-1
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    2. Application of Supplemental Sampling and Interpretable AI in Credit Scoring for Canadian Fintechs: Methods and Case Studies

      • Yi Shen
      Pages 3-14

    3. A Deep Convolutional Autoencoder-Based Approach for Parkinson’s Disease Diagnosis Through Speech Signals

      • Rania Khaskhoussy, Yassine Ben Ayed
      Pages 15-26

    4. Mining the Potential Relationships Between Cancer Cases and Industrial Pollution Based on High-Influence Ordered-Pair Patterns

      • Juanjuan Shu, Lizhen Wang, Peizhong Yang, Vanha Tran
      Pages 27-40

    5. Finding Hidden Relationships Between Medical Concepts by Leveraging Metamap and Text Mining Techniques

      • Weikang Yang, S. M. Mazharul Hoque Chowdhury, Wei Jin
      Pages 41-52

    6. Causality Discovery Based on Combined Causes and Multiple Causes in Drug-Drug Interaction

      • Sitthichoke Subpaiboonkit, Xue Li, Xin Zhao, Guido Zuccon
      Pages 53-66

    7. An Integrated Medical Recommendation Mechanism Combining Promote Product Singular Value Decomposition and Knowledge Graph

      • Yibo Sun, Chenlei Liu, Xue Tong, Bing Hu
      Pages 67-78

  3. Web and IoT Applications

    1. Front Matter

      Pages 79-79
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    2. Joint Extraction of Entities and Relations in the News Domain

      • Zeyu Li, Haoyang Ma, Yingying Lv, Hao Shen
      Pages 81-92

    3. Event Detection from Web Data in Chinese Based on Bi-LSTM with Attention

      • Yuxin Wu, Zenghui Xu, Hongzhou Li, Yuquan Gan, Josh Jia-Ching Ying, Ting Yu et al.
      Pages 93-105

    4. Sentiment Analysis of Tweets Using Deep Learning

      • Jaishree Ranganathan, Tsega Tsahai
      Pages 106-117

    5. Cyber Attack Detection in IoT Networks with Small Samples: Implementation And Analysis

      • Venkata Abhishek Kanthuru, Sutharshan Rajasegarar, Punit Rathore, Robin Ram Mohan Doss, Lei Pan, Biplob Ray et al.
      Pages 118-130

    6. SATB: A Testbed of IoT-Based Smart Agriculture Network for Dataset Generation

      • Liuhuo Wan, Yanjun Zhang, Ruiqing Li, Ryan Ko, Louw Hoffman, Guangdong Bai
      Pages 131-145

    7. An Overview on Reducing Social Networks’ Size

      • Myriam Jaouadi, Lotfi Ben Romdhane
      Pages 146-157

    8. AuCM: Course Map Data Analytics for Australian IT Programs in Higher Education

      • Jianing Xia, Yifu Tang, Taige Zhao, Jianxin Li
      Pages 158-172

    9. Profit Maximization Using Social Networks in Two-Phase Setting

      • Poonam Sharma, Suman Banerjee
      Pages 173-184

  4. On-Device Application

    1. Front Matter

      Pages 185-185
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    2. SESA: Fast Trajectory Compression Method Using Sub-trajectories Segmented by Stay Areas

      • Shota Iiyama, Tetsuya Oda, Masaharu Hirota
      Pages 187-198

    3. Android Malware Detection Based on Stacking and Multi-feature Fusion

      • Qin Zhaowei, Xie Nannan, Asiedu Collins Gyamfi
      Pages 199-215
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Other volumes

  1. Advanced Data Mining and Applications

  2. Advanced Data Mining and Applications

Editors and Affiliations

  • The University of Adelaide, Adelaide, Australia

    Weitong Chen

  • The University of New South Wales, Sydney, Australia

    Lina Yao

  • Macquarie University, Sydney, Australia

    Taotao Cai

  • Griffith University, Brisbane, Australia

    Shirui Pan

  • Microsoft, Beijing, China

    Tao Shen

  • The University of Queensland, Brisbane, Australia

    Xue Li

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