© 2017

Advanced Data Mining and Applications

13th International Conference, ADMA 2017, Singapore, November 5–6, 2017, Proceedings

  • Gao Cong
  • Wen-Chih Peng
  • Wei Emma Zhang
  • Chengliang Li
  • Aixin Sun
Conference proceedings ADMA 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10604)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10604)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Database and Distributed Machine Learning

    1. Front Matter
      Pages 1-1
    2. Majed Sahli, Essam Mansour, Panos Kalnis
      Pages 3-17
    3. Shang-Xuan Zou, Chun-Yen Chen, Jui-Lin Wu, Chun-Nan Chou, Chia-Chin Tsao, Kuan-Chieh Tung et al.
      Pages 18-32
    4. Ming-Yen Lin, Yueh-Lin Lin, Sue-Chen Hsueh
      Pages 49-62
    5. Přemysl Čech, Jakub Maroušek, Jakub Lokoč, Yasin N. Silva, Jeremy Starks
      Pages 63-75
    6. Anis Yazidi, Hugo Lewi Hammer, B. John Oommen
      Pages 76-86
  3. Recommender System

    1. Front Matter
      Pages 87-87
    2. Pierre-René Lhérisson, Fabrice Muhlenbach, Pierre Maret
      Pages 89-103
    3. Areej Alsini, Amitava Datta, Jianxin Li, Du Huynh
      Pages 119-131
    4. Wei Zheng, Bohan Li, Yanan Wang, Hongzhi Yin, Xue Li, Donghai Guan et al.
      Pages 132-147
  4. Social Network and Social Media

    1. Front Matter
      Pages 163-163
    2. Xingyu Niu, Hongyi Zhang, Micheal R. Lyu, Irwin King
      Pages 180-194
    3. Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah
      Pages 195-208
    4. Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang
      Pages 209-224

About these proceedings


This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017.

The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118 submissions. The papers were organized in topical sections named: database and distributed machine learning; recommender system; social network and social media; machine learning; classification and clustering methods; behavior modeling and user profiling; bioinformatics and medical data analysis; spatio-temporal data; natural language processing and text mining; data mining applications; applications; and demos. 


artificial intelligence machine learning data mining semantics social networks databases natural language processing text mining recommender systems behavior modeling internet world wide web neural networks data security computational linguistics support vector machines

Editors and affiliations

  1. 1.Nanyang Technological UniversitySingaporeSingapore
  2. 2.National Chiao Tung UniversityHsinchuTaiwan
  3. 3.Macquarie UniversitySydneyAustralia
  4. 4.Wuhan UniversityWuhanChina
  5. 5.Nanyang Technological UniversitySingaporeSingapore

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