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Advanced Data Mining and Applications

10th International Conference, ADMA 2014, Guilin, China, December 19-21, 2014. Proceedings

  • Xudong Luo
  • Jeffrey Xu Yu
  • Zhi Li

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8933)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 8933)

Table of contents

  1. Front Matter
  2. Data Mining

    1. Philippe Fournier-Viger, Cheng-Wei Wu, Vincent S. Tseng
      Pages 30-43
    2. Jerry Chun-Wei Lin, Wensheng Gan, Tzung-Pei Hong, Jeng-Shyang Pan
      Pages 44-56
    3. Wentao Wang, Lei Duan, Jyrki Nummenmaa, Song Deng, Zhongqi Li, Hao Yang et al.
      Pages 57-70
    4. Guangming Guo, Lei Zhang, Qi Liu, Enhong Chen, Feida Zhu, Chu Guan
      Pages 71-84
  3. Social Network and Social Media

    1. Justin Fagnan, Reihaneh Rabbany, Mansoureh Takaffoli, Eric Verbeek, Osmar R. Zaïane
      Pages 85-97
    2. Zhan Bu, Guangliang Gao, Zhiang Wu, Jie Cao, Xiao Zheng
      Pages 98-111
    3. Zhenjun Tang, Junwei Yu, Xianquan Zhang, Shichao Zhang
      Pages 112-122
    4. Tiago Cunha, Carlos Soares, Eduarda Mendes Rodrigues
      Pages 123-136
    5. Xiao Feng, Shuwu Zhang, Wei Liang, Zhe Tu
      Pages 137-150
  4. Recommend System

    1. Yi Zhuang, Fei Zhuge, Dickson K. W. Chiu, Chunhua Ju, Bo Jiang
      Pages 163-174
    2. Wenzhong Liang, Guangquan Lu, Xiaoyu Ji, Jian Li, Dingrong Yuan
      Pages 175-184
    3. Ahmad Abdel-Hafez, Xiaoyu Tang, Nan Tian, Yue Xu
      Pages 185-198
    4. Fábio Pinto, Carlos Soares, João Mendes-Moreira
      Pages 199-212
    5. Benyou Zou, Mengwei Lan, Cuiping Li, Liwen Tan, Hong Chen
      Pages 213-226
    6. Benyou Zou, Cuiping Li, Liwen Tan, Hong Chen
      Pages 227-238
  5. Database

    1. Yuwei Wang, Ze Luo, Baoping Yan, John Takekawa, Diann Prosser, Scott Newman
      Pages 239-252
    2. Li-e. Wang, Xianxian Li
      Pages 253-266
    3. Peng Liu, Lei Cui, Xianxian Li
      Pages 267-278
    4. Yankson Herbert Gustav, Xiao Wu, Yan Ren, Yong Wang, Fengli Zhang
      Pages 279-292
    5. Wu Wang, Li Tao, Chao Gao, Binfeng Wang, Hui Yang, Zili Zhang
      Pages 293-304
  6. Dimensionality Reduction

    1. Long Zhao, Shuliang Wang, Yi Lin
      Pages 319-333
    2. Ling Li, Huawen Liu, Zongjie Ma, Yuchang Mo, Zhengjie Duan, Jiaqing Zhou et al.
      Pages 345-355
    3. Shichao Zhang, Ming Zong, Ke Sun, Yue Liu, Debo Cheng
      Pages 356-369
    4. Xin Song, Zhihua Cai, Wei Xu
      Pages 380-393
  7. Advance Machine Learning Techniques

    1. Chengchao Li, Pengpeng Zhao, Jian Wu, Haihui Xu, Zhiming Cui
      Pages 435-446
    2. Ning Yin, Shanshan Wang, Shenda Hong, Hongyan Li
      Pages 461-474
  8. Classification

    1. Shucheng Gong, Hongyan Liu
      Pages 475-487
    2. Sobia Shafiq, Wasi Haider Butt, Usman Qamar
      Pages 488-498
    3. Debo Cheng, Shichao Zhang, Zhenyun Deng, Yonghua Zhu, Ming Zong
      Pages 499-512
    4. Yi Lin, Shuliang Wang, Long Zhao, DaKui Wang
      Pages 513-522
    5. Yang Jiao, Pengpeng Zhao, Jian Wu, Xuefeng Xian, Haihui Xu, Zhiming Cui
      Pages 523-534
    6. Pedro Strecht, João Mendes-Moreira, Carlos Soares
      Pages 535-548
  9. Big Data and Applications

    1. Kun Jiang, Yuexiang Yang
      Pages 549-559
    2. Wei Ge, Yihua Huang, Di Zhao, Shengmei Luo, Chunfeng Yuan, Wenhui Zhou et al.
      Pages 602-615
    3. Abdullah Alfazi, Talal H. Noor, Quan Z. Sheng, Yong Xu
      Pages 616-629
  10. Clustering Methods

    1. Yaqiong Liu, Yuzhuo Wen, Dingrong Yuan, Yuwei Cuan
      Pages 630-640

About these proceedings

Introduction

This book constitutes the proceedings of the 10th International Conference on Advanced Data Mining and Applications, ADMA 2014, held in Guilin, China during December 2014. The 48 regular papers and 10 workshop papers presented in this volume were carefully reviewed and selected from 90 submissions. They deal with the following topics: data mining, social network and social media, recommend systems, database, dimensionality reduction, advance machine learning techniques, classification, big data and applications, clustering methods, machine learning, and data mining and database.

Keywords

Web service cloud service crowdsourcing data mining dynamic databases ensemble learning image hashing improved genetic algorithm multi-database mining multiparty ontology parallel data mining pattern recognition privacy recommender system safety social media spatio-temporal patterns stream data mining support vector machine

Editors and affiliations

  • Xudong Luo
    • 1
  • Jeffrey Xu Yu
    • 2
  • Zhi Li
    • 3
  1. 1.Sun Yat-sen UniversityGuangzhouP.R. China
  2. 2.The Chinese University of Hong KongShatin, N.T.Hong Kong
  3. 3.Guanxi Normal UniversityGuilinP.R. China

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-14717-8
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-14716-1
  • Online ISBN 978-3-319-14717-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site