Data Mining and Big Data

First International Conference, DMBD 2016, Bali, Indonesia, June 25-30, 2016. Proceedings

  • Ying Tan
  • Yuhui Shi
Conference proceedings DMBD 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9714)

Also part of the Information Systems and Applications, incl. Internet/Web, and HCI book sub series (LNISA, volume 9714)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. Challenges in Data Mining and Big Data

    1. Front Matter
      Pages 1-1
    2. Shi Cheng, Bin Liu, Yuhui Shi, Yaochu Jin, Bin Li
      Pages 3-14
    3. Maxim Bakaev, Tatiana Avdeenko
      Pages 15-23
  3. Data Mining Algorithms

    1. Front Matter
      Pages 25-25
    2. Fangyu Gai, Zhiqiang Li, Xinwen Jiang, Hongchen Guo
      Pages 27-37
    3. Salim A., Amjesh R., Vinod Chandra S.S.
      Pages 38-47
    4. Ratna Hidayati, Katsutoshi Kanamori, Ling Feng, Hayato Ohwada
      Pages 59-66
    5. Jorge Leonardo Puentes Morantes, Nancy Yurani Ortiz Guevara, José Ignacio Rodriguez Molano
      Pages 67-74
  4. Frequent Itemset Mining

    1. Front Matter
      Pages 75-75
    2. Hristo Kyurkchiev, Kalinka Kaloyanova
      Pages 77-85
  5. Spatial Data Mining

  6. Prediction

    1. Front Matter
      Pages 135-135
    2. Vijay Krishna Menon, Nithin Chekravarthi Vasireddy, Sai Aswin Jami, Viswa Teja Naveen Pedamallu, Varsha Sureshkumar, K. P. Soman
      Pages 137-146

About these proceedings

Introduction

The LNCS volume LNCS 9714 constitutes the refereed proceedings of the International Conference on Data Mining and Big Data, DMBD 2016, held in Bali, Indonesia, in June 2016.
The 57 papers presented in this volume were carefully reviewed and selected from 115 submissions. The theme of DMBD 2016 is "Serving Life with Data Science". Data mining refers to the activity of going through big data sets to look for relevant or pertinent information.
The papers are organized in 10 cohesive sections covering all major topics of the research and development of data mining and big data and one Workshop on Computational Aspects of Pattern Recognition and Computer Vision.

Keywords

big data cloud computing data visualization spatial data mining swarm intelligence

Editors and affiliations

  • Ying Tan
    • 1
  • Yuhui Shi
    • 2
  1. 1.Peking UniversityBeijingChina
  2. 2.Xi'an Jiaotong-Liverpool UniversitySuzhouChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-40973-3
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-40972-6
  • Online ISBN 978-3-319-40973-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book