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Advanced Data Mining and Applications

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

  • Conference proceedings
  • © 2017

Overview

Editors:
  1. Gao Cong

    1. Nanyang Technological University, Singapore, Singapore

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  2. Wen-Chih Peng

    1. National Chiao Tung University, Hsinchu, Taiwan

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  3. Wei Emma Zhang

    1. Macquarie University, Sydney, Australia

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  4. Chengliang Li

    1. Wuhan University, Wuhan, China

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  5. Aixin Sun

    1. Nanyang Technological University, Singapore, Singapore

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

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

Included in the following conference series:

Conference proceedings info: ADMA 2017.

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About this book

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. 

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Table of contents (64 papers)

  1. Front Matter

    Pages I-XVII
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  2. Database and Distributed Machine Learning

    1. Front Matter

      Pages 1-1
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    2. Querying and Mining Strings Made Easy

      • Majed Sahli, Essam Mansour, Panos Kalnis
      Pages 3-17

    3. Distributed Training Large-Scale Deep Architectures

      • Shang-Xuan Zou, Chun-Yen Chen, Jui-Lin Wu, Chun-Nan Chou, Chia-Chin Tsao, Kuan-Chieh Tung et al.
      Pages 18-32

    4. Fault Detection and Localization in Distributed Systems Using Recurrent Convolutional Neural Networks

      • Guangyang Qi, Lina Yao, Anton V. Uzunov
      Pages 33-48

    5. Discovering Group Skylines with Constraints by Early Candidate Pruning

      • Ming-Yen Lin, Yueh-Lin Lin, Sue-Chen Hsueh
      Pages 49-62

    6. Comparing MapReduce-Based k-NN Similarity Joins on Hadoop for High-Dimensional Data

      • Přemysl Čech, Jakub Maroušek, Jakub Lokoč, Yasin N. Silva, Jeremy Starks
      Pages 63-75

    7. A Higher-Fidelity Frugal Quantile Estimator

      • Anis Yazidi, Hugo Lewi Hammer, B. John Oommen
      Pages 76-86

  3. Recommender System

    1. Front Matter

      Pages 87-87
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    2. Fair Recommendations Through Diversity Promotion

      • Pierre-René Lhérisson, Fabrice Muhlenbach, Pierre Maret
      Pages 89-103

    3. A Hierarchical Bayesian Factorization Model for Implicit and Explicit Feedback Data

      • ThaiBinh Nguyen, Atsuhiro Takasu
      Pages 104-118

    4. Empirical Analysis of Factors Influencing Twitter Hashtag Recommendation on Detected Communities

      • Areej Alsini, Amitava Datta, Jianxin Li, Du Huynh
      Pages 119-131

    5. Group Recommender Model Based on Preference Interaction

      • Wei Zheng, Bohan Li, Yanan Wang, Hongzhi Yin, Xue Li, Donghai Guan et al.
      Pages 132-147

    6. Identification of Grey Sheep Users by Histogram Intersection in Recommender Systems

      • Yong Zheng, Mayur Agnani, Mili Singh
      Pages 148-161

  4. Social Network and Social Media

    1. Front Matter

      Pages 163-163
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    2. A Feature-Based Approach for the Redefined Link Prediction Problem in Signed Networks

      • Xiaoming Li, Hui Fang, Jie Zhang
      Pages 165-179

    3. From Mutual Friends to Overlapping Community Detection: A Non-negative Matrix Factorization Approach

      • Xingyu Niu, Hongyi Zhang, Micheal R. Lyu, Irwin King
      Pages 180-194

    4. Calling for Response: Automatically Distinguishing Situation-Aware Tweets During Crises

      • Xiaodong Ning, Lina Yao, Xianzhi Wang, Boualem Benatallah
      Pages 195-208

    5. Efficient Revenue Maximization for Viral Marketing in Social Networks

      • Yuan Su, Xi Zhang, Sihong Xie, Philip S. Yu, Binxing Fang
      Pages 209-224

    6. Generating Life Course Trajectory Sequences with Recurrent Neural Networks and Application to Early Detection of Social Disadvantage

      • Lin Wu, Michele Haynes, Andrew Smith, Tong Chen, Xue Li
      Pages 225-242
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Other volumes

  1. Advanced Data Mining and Applications

Editors and Affiliations

  • Nanyang Technological University, Singapore, Singapore

    Gao Cong, Aixin Sun

  • National Chiao Tung University, Hsinchu, Taiwan

    Wen-Chih Peng

  • Macquarie University, Sydney, Australia

    Wei Emma Zhang

  • Wuhan University, Wuhan, China

    Chengliang Li

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