Advances in Data Mining. Applications and Theoretical Aspects

16th Industrial Conference, ICDM 2016, New York, NY, USA, July 13-17, 2016. Proceedings

  • Petra┬áPerner

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9728)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 9728)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Jerry Chun-Wei Lin, Ting Li, Philippe Fournier-Viger, Tzung-Pei Hong, Ja-Hwung Su
    Pages 14-28
  3. Thuc-Doan Do, Thuy-Van T. Duong, Ngoc-Phien Nguyen
    Pages 41-53
  4. Sankara Prasad Kondareddy, Shruti Agrawal, Shishir Shekhar
    Pages 54-63
  5. Philippe Fournier-Viger, Jerry Chun-Wei Lin, Quang-Huy Duong, Thu-Lan Dam
    Pages 64-79
  6. Tamer Ozyigit, Cuneyt Yavuz, Massimo Pieri, S. Murat Egi, Bahar Egi, Corentin Altepe et al.
    Pages 96-109
  7. Junjie Chen, Xiaofeng Wang, Wenjing Zhou, Lei Zhang, Fei Liu
    Pages 110-124
  8. David Kaczynski, Lisa Gandy, Gongzhu Hu
    Pages 125-138
  9. Chun-Che Huang, Yu-Jie Fang, Shian-Hua Lin, Wen-Yau Liang, Shu-Rong Wu
    Pages 139-153
  10. Sulagna Gope, Sudeshna Sarkar, Pabitra Mitra, Subimal Ghosh
    Pages 154-167
  11. Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra et al.
    Pages 168-182
  12. Bingquan Huang, Ying Huang, Chongcheng Chen, M. -T. Kechadi
    Pages 183-196
  13. Konstantin Borisenko, Andrey Smirnov, Evgenia Novikova, Andrey Shorov
    Pages 197-211
  14. Ding-Yao Huang, Chiou-Yi Hor, Chang-Biau Yang
    Pages 212-222
  15. Bernard Chen, Christopher Rhodes, Alexander Yu, Valentin Velchev
    Pages 223-238
  16. Bernard Chen, Hai Le, Christopher Rhodes, Dongsheng Che
    Pages 239-252

About these proceedings


This book constitutes the refereed proceedings of the 16th Industrial Conference on Advances in Data Mining, ICDM 2016, held in New York, NY, USA, in July 2016.

The 33 revised full papers presented were carefully reviewed and selected from 100 submissions. The topics range from theoretical aspects of data mining to applications of data mining, such as in multimedia data, in marketing, in medicine, and in process control, industry, and society.


big data business process modeling cloud computing machine learning social media

Editors and affiliations

  • Petra┬áPerner
    • 1
  1. 1.IBaIInst of Comp Vision and applied Comp SciLeipzigGermany

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-41560-4
  • Online ISBN 978-3-319-41561-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book