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Discovery Science

20th International Conference, DS 2017, Kyoto, Japan, October 15–17, 2017, Proceedings

  • Akihiro Yamamoto
  • Takuya Kida
  • Takeaki Uno
  • Tetsuji Kuboyama

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10558)

Also part of the Lecture Notes in Artificial Intelligence book sub series (LNAI, volume 10558)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Online Learning

    1. Front Matter
      Pages 1-1
    2. Sarah D’Ettorre, Herna L. Viktor, Eric Paquet
      Pages 3-17
    3. Ngoc Anh Huynh, Wee Keong Ng, Kanishka Ariyapala
      Pages 18-32
    4. Mondelle Simeon, Howard J. Hamilton
      Pages 33-47
  3. Regression

    1. Front Matter
      Pages 49-49
    2. Žiga Lukšič, Jovan Tanevski, Sašo Džeroski, Ljupčo Todorovski
      Pages 51-66
    3. Andrei Tolstikov, Frederik Janssen, Johannes Fürnkranz
      Pages 67-81
    4. Kazuto Fukuchi, Quang Khai Tran, Jun Sakuma
      Pages 82-90
  4. Label Classification

    1. Front Matter
      Pages 91-91
    2. Martin Breskvar, Dragi Kocev, Sašo Džeroski
      Pages 108-115
    3. Tomaž Stepišnik Perdih, Aljaž Osojnik, Sašo Džeroski, Dragi Kocev
      Pages 116-123
  5. Deep Learning

    1. Front Matter
      Pages 125-125
    2. Camila González, Eneldo Loza Mencía, Johannes Fürnkranz
      Pages 127-143
    3. Zahra Ahmadi, Marcin Skowron, Aleksandrs Stier, Stefan Kramer
      Pages 144-152
  6. Feature Selection

    1. Front Matter
      Pages 153-153
    2. Matej Petković, Sašo Džeroski, Dragi Kocev
      Pages 171-185
  7. Recommendation System

    1. Front Matter
      Pages 187-187
    2. Tiago Cunha, Carlos Soares, André C. P. L. F. de Carvalho
      Pages 189-203
  8. Community Detection

    1. Front Matter
      Pages 205-205
    2. Kartikeya Bhardwaj, HingOn Miu, Radu Marculescu
      Pages 223-238
    3. Takako Hashimoto, Tetsuji Kuboyama, Hiroshi Okamoto, Kilho Shin
      Pages 239-247
  9. Pattern Mining

    1. Front Matter
      Pages 249-249
    2. Daniel Trabold, Tamás Horváth
      Pages 251-266
    3. Natsuki Kiyota, Sho Shimamura, Kouichi Hirata
      Pages 267-280
  10. Bioinformatics

    1. Front Matter
      Pages 281-281
    2. Gianvito Pio, Michelangelo Ceci, Francesca Prisciandaro, Donato Malerba
      Pages 283-297
    3. Sultan Imangaliyev, Johannes H. Matse, Jan G. M. Bolscher, Ruud H. Brakenhoff, David T. W. Wong, Elisabeth Bloemena et al.
      Pages 298-305
  11. Knowledge Discovery

    1. Front Matter
      Pages 307-307
    2. Livio Bioglio, Valentina Rho, Ruggero G. Pensa
      Pages 309-323
    3. Mateusz Lango, Dariusz Brzezinski, Sebastian Firlik, Jerzy Stefanowski
      Pages 324-339
    4. Edmundo-Pavel Soriano-Morales, Julien Ah-Pine, Sabine Loudcher
      Pages 340-355
  12. Back Matter
    Pages 357-357

About these proceedings

Introduction

This book constitutes the proceedings of the 20th International Conference on Discovery Science, DS 2017, held in Kyoto, Japan, in October 2017, co-located with the International Conference on Algorithmic Learning Theory, ALT 2017.

The 18 revised full papers presented together with 6 short papers and 2 invited talks in this volume were carefully reviewed and selected from 42 submissions. The scope of the conference includes the development and analysis of methods for discovering scientific knowledge, coming from machine learning, data mining, intelligent data analysis, big data analysis as well as their application in various scientific domains. The papers are organized in topical sections on machine learning: online learning, regression, label classification, deep learning, feature selection, recommendation system; and knowledge discovery: recommendation system, community detection, pattern mining, misc.

Keywords

classification community detection data mining feature selection knowledge discovery label classification learning algorithms learning systems machine learning online learning pattern mining recommendation regression social networks

Editors and affiliations

  • Akihiro Yamamoto
    • 1
  • Takuya Kida
    • 2
  • Takeaki Uno
    • 3
  • Tetsuji Kuboyama
    • 4
  1. 1.Kyoto UniversityKyotoJapan
  2. 2.Hokkaido UniversitySapporoJapan
  3. 3.National Institute of InformaticsTokyoJapan
  4. 4.Gakushuin UniversityTokyoJapan

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67786-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-67785-9
  • Online ISBN 978-3-319-67786-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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