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Advanced Data Mining and Applications

15th International Conference, ADMA 2019, Dalian, China, November 21–23, 2019, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Jianxin Li

    1. Deakin University, Burwood, Australia

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  2. Sen Wang

    1. The University of Queensland, St. Lucia, Australia

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  3. Shaowen Qin

    1. Flinders University, Bedford Park, Australia

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  4. Xue Li

    1. Dalian Neusoft University of Information, Dalian, China

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  5. Shuliang Wang

    1. Beijing Institute of Technology, Beijing, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11888)

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

Included in the following conference series:

Conference proceedings info: ADMA 2019.

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Table of contents (67 papers)

  1. Front Matter

    Pages i-xvii
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  2. Data Mining Foundations

    1. Front Matter

      Pages 1-1
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    2. Mining Emerging High Utility Itemsets over Streaming Database

      • Acquah Hackman, Yu Huang, Philip S. Yu, Vincent S. Tseng
      Pages 3-16

    3. A Methodology for Resolving Heterogeneity and Interdependence in Data Analytics

      • Han Han, Yunwei Zhao, Can Wang, Min Shu, Tao Peng, Chi-Hung Chi et al.
      Pages 17-33

    4. Learning Subgraph Structure with LSTM for Complex Network Link Prediction

      • Yun Han, Donghai Guan, Weiwei Yuan
      Pages 34-47

    5. Accelerating Minimum Temporal Paths Query Based on Dynamic Programming

      • Mo Li, Junchang Xin, Zhiqiong Wang, Huilin Liu
      Pages 48-62

    6. Multiple Query Point Based Collective Spatial Keyword Querying

      • Yun Li, Ziheng Wang, Jing Chen, Fei Wang, Jiajie Xu
      Pages 63-78

    7. Unsupervised Feature Selection for Noisy Data

      • Kaveh Mahdavi, Jesus Labarta, Judit Gimenez
      Pages 79-94

    8. Tri-Level Cross-Domain Sign Prediction for Complex Network

      • Jiali Pang, Donghai Guan, Weiwei Yuan
      Pages 95-106

    9. An Efficient Mining Algorithm of Closed Frequent Itemsets on Multi-core Processor

      • Huan Phan
      Pages 107-118

    10. TSRuleGrowth: Mining Partially-Ordered Prediction Rules From a Time Series of Discrete Elements, Application to a Context of Ambient Intelligence

      • Benoit Vuillemin, Lionel Delphin-Poulat, Rozenn Nicol, Laetitia Matignon, Salima Hassas
      Pages 119-134

    11. HGTPU-Tree: An Improved Index Supporting Similarity Query of Uncertain Moving Objects for Frequent Updates

      • Mengqian Zhang, Bohan Li, Kai Wang
      Pages 135-150

    12. Robust Feature Selection Based on Fuzzy Rough Sets with Representative Sample

      • Zhimin Zhang, Weitong Chen, Chengyu Liu, Yun Kang, Feng Liu, Yuwen Li et al.
      Pages 151-165

  3. Classification and Clustering Methods

    1. Front Matter

      Pages 167-167
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    2. HUE-Span: Fast High Utility Episode Mining

      • Philippe Fournier-Viger, Peng Yang, Jerry Chun-Wei Lin, Unil Yun
      Pages 169-184

    3. Clustering Noisy Temporal Data

      • Paul Grant, Md Zahidul Islam
      Pages 185-194

    4. A Novel Approach for Noisy Signal Classification Through the Use of Multiple Wavelets and Ensembles of Classifiers

      • Paul Grant, Md Zahidul Islam
      Pages 195-203

  4. Recommender Systems

    1. Front Matter

      Pages 205-205
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    2. Reminder Care System: An Activity-Aware Cross-Device Recommendation System

      • May S. Altulyan, Chaoran Huang, Lina Yao, Xianzhi Wang, Salil Kanhere, Yunajiang Cao
      Pages 207-220

    3. Similar Group Finding Algorithm Based on Temporal Subgraph Matching

      • Yizhu Cai, Mo Li, Junchang Xin
      Pages 221-235
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  1. Advanced Data Mining and Applications

Keywords

About this book

This book constitutes the proceedings of the 15th International Conference on Advanced Data Mining and Applications, ADMA 2019, held in Dalian, China in November 2019.

The 39 full papers presented together with 26 short papers and 2 demo papers were carefully reviewed and selected from 170 submissions. The papers were organized in topical sections named: Data Mining Foundations; Classification and Clustering Methods; Recommender Systems; Social Network and Social Media; Behavior Modeling and User Profiling; Text and Multimedia Mining; Spatial-Temporal Data; Medical and Healthcare Data/Decision Analytics; and Other Applications.

Editors and Affiliations

  • Deakin University, Burwood, Australia

    Jianxin Li

  • The University of Queensland, St. Lucia, Australia

    Sen Wang

  • Flinders University, Bedford Park, Australia

    Shaowen Qin

  • Dalian Neusoft University of Information, Dalian, China

    Xue Li

  • Beijing Institute of Technology, Beijing, China

    Shuliang Wang

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