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Advanced Data Mining and Applications

16th International Conference, ADMA 2020, Foshan, China, November 12–14, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Xiaochun Yang

    1. Northeastern University, Shenyang, China

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  2. Chang-Dong Wang

    1. School of Data and Computer Science, Guangzhou, China

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  3. Md. Saiful Islam

    1. Griffith University, Southport, Australia

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  4. Zheng Zhang

    1. School of Computer Science and Technology, Shenzhen, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12447)

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

Included in the following conference series:

Conference proceedings info: ADMA 2020.

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Table of contents (49 papers)

  1. Front Matter

    Pages i-xv
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  3. Text Mining

    1. Front Matter

      Pages 81-81
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    2. DGRL: Text Classification with Deep Graph Residual Learning

      • Boyan Chen, Guangquan Lu, Bo Peng, Wenzhen Zhang
      Pages 83-97

    3. Densely Connected Bidirectional LSTM with Max-Pooling of CNN Network for Text Classification

      • Qinghong Jiang, Huaping Zhang, Jianyun Shang, Ian Wesson, ENlin Li
      Pages 98-113

    4. A Context-Aware Computing Method of Sentence Similarity Based on Frame Semantics

      • Wenjing Liu, Tiexin Wang, Zhibin Yang, Jingwen Cao
      Pages 114-126

    5. Learning the Concept Embeddings of Ontology

      • Jiangtao Qiu, Siyu Wang
      Pages 127-134

    6. ATextCNN Model: A New Multi-classification Method for Police Situation

      • Wenhuan Wang, Ding Feng, Bohan Li, Jiaying Tian
      Pages 135-147

    7. Hierarchical and Pairwise Document Embedding for Plagiarism Detection

      • Ruitong Zhang, Lianzhong Liu, Jiaofu Zhang, Zihang Huang, Caiwei Yang, Liangxuan Zhao et al.
      Pages 148-156

  4. Graph Mining

    1. Front Matter

      Pages 157-157
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    2. Evolutionary Strategy for Graph Embedding

      • Jin Jin, Dan Yu
      Pages 159-167

    3. D2NE: Deep Dynamic Network Embedding

      • Chao Kong, Baoxiang Chen, Shaoying Li, Qi Zhou, Dongfang Wang, Liping Zhang
      Pages 168-175

    4. Elaborating the Bayesian Priors in Unsupervised Graph Embedding via Graph Concepts

      • Xiaojun Ma, Ziyao Li, Siwei Wei, Guojie Song
      Pages 176-190

    5. Tuser3: A Profile Matching Based Algorithm Across Three Heterogeneous Social Networks

      • Atika Mbarek, Salma Jamoussi, Abdelmajid BenHamadou
      Pages 191-206
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Keywords

About this book

This book constitutes the proceedings of the 16th International Conference on Advanced Data Mining and Applications, ADMA 2020, held in Foshan, China in November 2020.

The 35 full papers presented together with 14 short papers papers were carefully reviewed and selected from 96 submissions. The papers were organized in topical sections named: Machine Learning; Text Mining; Graph Mining; Predictive Analytics; Recommender Systems; Privacy and Security; Query Processing; Data Mining Applications.

Editors and Affiliations

  • Northeastern University, Shenyang, China

    Xiaochun Yang

  • School of Data and Computer Science, Guangzhou, China

    Chang-Dong Wang

  • Griffith University, Southport, Australia

    Md. Saiful Islam

  • School of Computer Science and Technology, Shenzhen, China

    Zheng Zhang

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