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Advances in Data Mining. Applications and Theoretical Aspects

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

  • Conference proceedings
  • © 2018

Overview

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

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

Included in the following conference series:

Conference proceedings info: ICDM 2018.

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Table of contents (24 papers)

Other volumes

  1. Advances in Data Mining. Applications and Theoretical Aspects

Keywords

About this book

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.

Editors and Affiliations

  • Institute of Computer Vision and Applied Computer Sciences, Leipzig, Germany

    Petra Perner

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

  • DOI: https://doi.org/10.1007/978-3-319-95786-9

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG, part of Springer Nature 2018

  • Softcover ISBN: 978-3-319-95785-2Published: 04 July 2018

  • eBook ISBN: 978-3-319-95786-9Published: 04 July 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: X, 326

  • Number of Illustrations: 130 b/w illustrations

  • Topics: Data Mining and Knowledge Discovery

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