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© 2018

Advances in Data Mining. Applications and Theoretical Aspects

18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings

  • Petra Perner
Conference proceedings ICDM 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10933)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10933)

Table of contents

  1. Front Matter
    Pages I-X
  2. Shaukat Ali Shahee, Usha Ananthakumar
    Pages 1-16
  3. Satu Tamminen, Henna Tiensuu, Eija Ferreira, Heli Helaakoski, Vesa Kyllönen, Juha Jokisaari et al.
    Pages 17-28
  4. Mohammad Fahim Arefin, Maliha Tashfia Islam, Chowdhury Farhan Ahmed
    Pages 29-43
  5. Abeda Sultana, Hosneara Ahmed, Chowdhury Farhan Ahmed
    Pages 44-58
  6. Tahira Alam, Chowdhury Farhan Ahmed, Sabit Anwar Zahin, Muhammad Asif Hossain Khan, Maliha Tashfia Islam
    Pages 59-74
  7. Ruben Rodrigues, Hugo Costa, Miguel Rocha
    Pages 75-87
  8. Ruixin Yang, Junyi He, Mingyang Xu, Haoqi Ni, Paul Jones, Nagiza Samatova
    Pages 104-118
  9. Ping Yang, Dan Wang, Xiao-Lin Du, Meng Wang
    Pages 119-134
  10. R. Gelbard, A. Khalemsky
    Pages 173-182
  11. Filip Nalepa, Michal Batko, Pavel Zezula
    Pages 183-198
  12. Rutba Aman, Chowdhury Farhan Ahmed
    Pages 199-214
  13. Sabrina Zaman Ishita, Faria Noor, Chowdhury Farhan Ahmed
    Pages 215-229
  14. Tianyue Zhao, Xiaofeng Qiu
    Pages 254-265

About these proceedings

Introduction

This volume constitutes the proceedings of the 18th Industrial Conference on Adances in Data Mining, ICDM 2018, held in New York, NY, USA, in July 2018.
The 24 regular papers presented in this book were carefully reviewed and selected from 146 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 agriculture, and in process control, industry, and society.

Keywords

Machine Learning Data Mining Pattern Recognition Medical Data Mining Frequent Item Set Mining Time Series Mining Classification Feature Selection Clustering Image Mining Graph Mining Process Minnig Data Mining in Marketing Forensic Data Analysis

Editors and affiliations

  • Petra Perner
    • 1
  1. 1.Institute of Computer Vision and Applied Computer SciencesLeipzigGermany

Bibliographic information

  • Book Title Advances in Data Mining. Applications and Theoretical Aspects
  • Book Subtitle 18th Industrial Conference, ICDM 2018, New York, NY, USA, July 11-12, 2018, Proceedings
  • Editors Petra Perner
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect.Notes Computer
  • DOI https://doi.org/10.1007/978-3-319-95786-9
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-319-95785-2
  • eBook ISBN 978-3-319-95786-9
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages X, 326
  • Number of Illustrations 130 b/w illustrations, 0 illustrations in colour
  • Topics Data Mining and Knowledge Discovery
  • Buy this book on publisher's site
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