Active Media Technology

10th International Conference, AMT 2014, Warsaw, Poland, August 11-14, 2014. Proceedings

  • Dominik Ślȩzak
  • Gerald Schaefer
  • Son T. Vuong
  • Yoo-Sung Kim
Conference proceedings AMT 2014
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8610)

Table of contents

  1. Front Matter
  2. Regular Contributions

    1. Active Media and Ubiquitous Learning Foundations

      1. Lu Zhong, Chao Gao, Zili Zhang, Ning Shi, Jiajin Huang
        Pages 11-22
      2. Zengda Guan, Dong Nie, Bibo Hao, Shuotian Bai, Tingshao Zhu
        Pages 23-34
      3. Divya Sardana, Raj Bhatnagar
        Pages 35-48
    2. Big Data Management and Mining for Active Media

      1. Keita Nabeshima, Junta Mizuno, Naoaki Okazaki, Kentaro Inui
        Pages 96-109
      2. António Barreto, Cláudia Antunes
        Pages 110-121
      3. Daniel Cardoso, Cláudia Antunes
        Pages 122-133
    3. Active Media Engineering

      1. Jonas Elslander, Katsumi Tanaka
        Pages 146-159
      2. Michele Ruta, Floriano Scioscia, Maria di Summa, Saverio Ieva, Eugenio Di Sciascio, Marco Sacco
        Pages 160-173
      3. Takahiro Kawamura, Shinichi Nagano, Akihiko Ohsuga
        Pages 174-186
      4. Daniel Grzywczak, Grzegorz Gwardys
        Pages 187-199
    4. Security and Privacy in Ubiquitous Environment

      1. Vidhi Khanduja, Shampa Chakraverty, Om Prakash Verma, Neha Singh
        Pages 212-225

About these proceedings

Introduction

This book constitutes the proceedings of the 10th International Conference on Active Media Technology, AMT 2014, held in Warsaw, Poland, in August 2014, held as part of the 2014 Web Intelligence Congress, WIC 2014. The 47 full papers presented were carefully reviewed and selected from numerous submissions. The topics of these papers encompass active computer systems; interactive systems and applications of AMT-based systems; active media machine learning and data mining techniques; AMT for the semantic web; social networks and cognitive foundations.

Keywords

anomaly detection bayesian network human-computer interaction social media ubiquitous computing

Editors and affiliations

  • Dominik Ślȩzak
    • 1
  • Gerald Schaefer
    • 2
  • Son T. Vuong
    • 3
  • Yoo-Sung Kim
    • 4
  1. 1.University of Warsaw and Infobright Inc.Poland
  2. 2.Department of Computer ScienceLoughborough UniversityLoughboroughU.K.
  3. 3.Computer Science DepartmentUniversity of British ColumbiaVancouverCanada
  4. 4.Department of Information & Communication EngineeringInha UniversityKorea

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-09912-5
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-09911-8
  • Online ISBN 978-3-319-09912-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book