Data Mining and Big Data

Second International Conference, DMBD 2017, Fukuoka, Japan, July 27 – August 1, 2017, Proceedings

  • Ying Tan
  • Hideyuki Takagi
  • Yuhui Shi

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10387)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 10387)

Table of contents

  1. Front Matter
    Pages I-XV
  2. Association Analysis

    1. Front Matter
      Pages 1-1
    2. Haifeng Li, Yue Wang, Ning Zhang, Yuejin Zhang
      Pages 22-30
    3. S. Anand Hareendran, S. S. Vinod Chandra
      Pages 31-39
    4. Toshiro Minami, Yoko Ohura, Kensuke Baba
      Pages 40-47
  3. Clustering

    1. Front Matter
      Pages 59-59
    2. Sasan Harifi, Ebrahim Byagowi, Madjid Khalilian
      Pages 61-73
    3. Mingjing Du, Shifei Ding
      Pages 74-80
  4. Prediction

    1. Front Matter
      Pages 81-81
    2. Petra Vrablecová, Viera Rozinajová, Anna Bou Ezzeddine
      Pages 83-92
    3. Yangping Li, Xiaorui Wei, Tianming Hu
      Pages 105-112
    4. Nur Syahela Hussien, Sarina Sulaiman, Siti Mariyam Shamsuddin
      Pages 113-124
  5. Classification

    1. Front Matter
      Pages 125-125
    2. Sukanta Roy, Sujai Subbanna, Srinidhii Venkatesh Channagiri, Sharath R Raj, Omkar S.N
      Pages 127-136
    3. Xiaoli Peng, Linjiang Zheng, Ting Liao
      Pages 137-147
    4. Fang-Fang Chua, Chia-Ying Khor, Su-Cheng Haw
      Pages 148-155

About these proceedings

Introduction

This book constitutes the refereed proceedings of the Second International Conference on Data Mining and Big Data, DMBD 2017, held in Fukuoka, Japan, in July/August 2017. 
The 53 papers presented in this volume were carefully reviewed and selected from 96 submissions. They were organized in topical sections named: association analysis; clustering; prediction; classification; schedule and sequence analysis; big data; data analysis; data mining; text mining; deep learning; high performance computing; knowledge base and its framework; and fuzzy control. 

Keywords

artificial intelligence big data classification algorithm computer aided instruction data communication systems data mining data stream fuzzy systems genetic algorithms internet learning algorithms learning systems mobile computing mobile devices neural networks social networks (SN) support vector machines SVM telecommunication networks world wide web (WWW)

Editors and affiliations

  • Ying Tan
    • 1
  • Hideyuki Takagi
    • 2
  • Yuhui Shi
    • 3
  1. 1.Peking UniversityBeijingChina
  2. 2.Kyushu UniversityFukuokaJapan
  3. 3.Southern University of Science and TechnologyShenzhenChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61845-6
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-61844-9
  • Online ISBN 978-3-319-61845-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book