Skip to main content
SpringerLink
Log in
Book cover
  • Conference proceedings
  • © 2023

Advanced Data Mining and Applications

19th International Conference, ADMA 2023, Shenyang, China, August 21–23, 2023, Proceedings, Part III

Editors:

  1. Xiaochun Yang

    1. Northeastern University, Shenyang, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Heru Suhartanto

    1. The University of Indonesia, Depok, Indonesia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Guoren Wang

    1. Beijing Institute of Technology, Beijing, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Bin Wang

    1. Northeastern University, Shenyang, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  5. Jing Jiang

    1. University of Technology Sydney, Sydney, Australia

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  6. Bing Li

    1. Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  7. Huaijie Zhu

    1. Sun Yat-sen University, Guangzhou, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  8. Ningning Cui

    1. Anhui University, Hefei, China

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 14178)

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

Conference series link(s): ADMA: International Conference on Advanced Data Mining and Applications

  • 2211 Accesses

Conference proceedings info: ADMA 2023.

Sections

Buy it now

eBook USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, access via your institution.

Table of contents (24 papers)

  1. Front Matter

    Pages i-xxi
    PDF

  2. Pharmaceutical Data Analysis

    1. Front Matter

      Pages 1-1
      PDF

    3. Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding

      • Yang Wang, Xueping Peng, Tao Shen, Allison Clarke, Clement Schlegel, Paul Martin et al.
      Pages 18-32

    4. Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction

      • Di Zhu, Yi Liu, Weitong Chen, Yanda Wang, Yefan Huang, Xiaoli Wang et al.
      Pages 33-47

    6. Multi-level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data

      • Leah Gerrard, Xueping Peng, Allison Clarke, Guodong Long
      Pages 63-78

    7. Individual Functional Network Abnormalities Mapping via Graph Representation-Based Neural Architecture Search

      • Qing Li, Haixing Dai, Jinglei Lv, Lin Zhao, Zhengliang Liu, Zihao Wu et al.
      Pages 79-91

    9. Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation

      • Honglin Shu, Pei Gao, Lingwei Zhu, Zheng Chen, Yasuko Matsubara, Yasushi Sakurai
      Pages 103-117

  3. Text Classification

    1. Front Matter

      Pages 119-119
      PDF

    2. ParaNet:Parallel Networks with Pre-trained Models for Text Classification

      • Yujia Wu, Xin Guo, Yi Wei, Xingli Chen
      Pages 121-135

    3. Open Text Classification Based on Dynamic Boundary Balance

      • Ganlin Xu, Jianzhou Feng, Qikai Wei
      Pages 136-150

    4. A Prompt Tuning Method for Chinese Medical Text Classification

      • Wenhao Li, Junfeng Zhao, Hanqing Gao
      Pages 151-166

    5. TabMentor: Detect Errors on Tabular Data with Noisy Labels

      • Yaru Zhang, Jianbin Qin, Yaoshu Wang, Muhammad Asif Ali, Yan Ji, Rui Mao
      Pages 167-182

    7. Semi-supervised Classification Based on Graph Convolution Encoder Representations from BERT

      • Jinli Zhang, Zongli Jiang, Chen Li, Zhenbo Wang
      Pages 199-213

    8. Global Balanced Text Classification for Stable Disease Diagnosis

      • Zhuoyang Xu, Xuehan Jiang, Siyue Chen, Yue Zhao, Gang Hu, Xingzhi Sun et al.
      Pages 214-228

  4. Graph

    1. Front Matter

      Pages 229-229
      PDF

    2. Dominance Maximization in Uncertain Graphs

      • Atharva Tekawade, Suman Banerjee
      Pages 231-246
Back to top

Other Volumes

Back to top

About this book

This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21–23, 2023.


The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were organized in topical sections as follows: Data mining foundations, Grand challenges of data mining, Parallel and distributed data mining algorithms, Mining on data streams, Graph mining and Spatial data mining.
Back to top

Keywords

  • artificial intelligence
  • computational linguistics
  • computer networks
  • computer systems
  • computer vision
  • Industry: Innovative industrial advancements
  • Remote monitoring
  • Disaster prediction
  • Health informatics
  • E-commerce and Web services
  • Image interpretations
  • DNA sequencing, genomics, and biometrics
  • Grid computing
  • Web of Things
  • Big data
  • High performance data mining algorithms
  • Web mining
  • Sequence processing and analysis
  • Text, video, multimedia data mining
  • Spatial data mining
Back to top

Editors and Affiliations

  • Northeastern University, Shenyang, China

    Xiaochun Yang, Bin Wang

  • The University of Indonesia, Depok, Indonesia

    Heru Suhartanto

  • Beijing Institute of Technology, Beijing, China

    Guoren Wang

  • University of Technology Sydney, Sydney, Australia

    Jing Jiang

  • Agency for Science, Technology and Research (A*STAR), Singapore, Singapore

    Bing Li

  • Sun Yat-sen University, Guangzhou, China

    Huaijie Zhu

  • Anhui University, Hefei, China

    Ningning Cui

Back to top

Bibliographic Information

Back to top
Access via your institution

Buy it now

eBook USD 59.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 74.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

search

Navigation