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  • © 2018

Advanced Data Mining and Applications

14th International Conference, ADMA 2018, Nanjing, China, November 16–18, 2018, Proceedings

Editors:

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 11323)

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

Conference proceedings info: ADMA 2018.

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Table of contents (44 papers)

  1. Front Matter

    Pages I-XIV
  2. Data Mining Foundations

    1. Front Matter

      Pages 1-1
    2. Efficiently Mining Constrained Subsequence Patterns

      • Abdullah Albarrak, Sanad Al-Maskari, Ibrahim A. Ibrahim, Abdulqader M. Almars
      Pages 3-16
    3. Slice_OP: Selecting Initial Cluster Centers Using Observation Points

      • Md Abdul Masud, Joshua Zhexue Huang, Ming Zhong, Xianghua Fu, Mohammad Sultan Mahmud
      Pages 17-30
    4. Anomaly Detection with Changing Cluster Centers

      • Zhang Peng, Zhou Liang
      Pages 42-54
    5. A Novel Feature Selection-Based Sequential Ensemble Learning Method for Class Noise Detection in High-Dimensional Data

      • Kai Chen, Donghai Guan, Weiwei Yuan, Bohan Li, Asad Masood Khattak, Omar Alfandi
      Pages 55-65
    6. Possibilistic Information Retrieval Model Based on a Multi-terminology

      • Wiem Chebil, Lina F. Soualmia, Mohamed Nazih Omri
      Pages 66-79
    7. On Improving the Prediction Accuracy of a Decision Tree Using Genetic Algorithm

      • Md. Nasim Adnan, Md. Zahidul Islam, Md. Mostofa Akbar
      Pages 80-94
    8. A Genetic Algorithm Based Technique for Outlier Detection with Fast Convergence

      • Xiaodong Zhu, Ji Zhang, Zewen Hu, Hongzhou Li, Liang Chang, Youwen Zhu et al.
      Pages 95-104
  3. Big Data

    1. Front Matter

      Pages 117-117
    2. Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition

      • Manish Bhanu, Shalini Priya, Sourav Kumar Dandapat, Joydeep Chandra, João Mendes-Moreira
      Pages 119-128
    3. A Sparse and Low-Rank Matrix Recovery Model for Saliency Detection

      • Chao Wang, Jing Li, KeXin Li, Yi Zhuang
      Pages 129-139
    4. An Airport Scene Delay Prediction Method Based on LSTM

      • Zhongbin Li, Haiyan Chen, Jiaming Ge, Kunpeng Ning
      Pages 160-169
    5. DSDCS: Detection of Safe Driving via Crowd Sensing

      • Yun Du, Xin Guo, Chenyang Shi, Yifan Zhu, Bohan Li
      Pages 170-177

Other Volumes

  1. Advanced Data Mining and Applications

About this book

This book constitutes the refereed proceedings of the 14th International Conference on Advanced Data Mining and Applications, ADMA 2018, held in Nanjing, China in November 2018.
The 23 full and 22 short papers presented in this volume were carefully reviewed and selected from 104 submissions. The papers were organized in topical sections named: Data Mining Foundations; Big Data; Text and Multimedia Mining; Miscellaneous Topics.

Editors and Affiliations

  • University of Connecticut, Storrs, USA

    Guojun Gan

  • Nanjing University of Aeronautics and Astronautics, Nanjing, China

    Bohan Li

  • The University of Queensland, Brisbane, Australia

    Xue Li

  • Beijing Institute of Technology, Beijing, China

    Shuliang Wang

Bibliographic Information

Buy it now

Buying options

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
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