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  • © 2019

Data Mining and Big Data

4th International Conference, DMBD 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings

Editors:

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1071)

Conference series link(s): DMBD: International Conference on Data Mining and Big Data

Conference proceedings info: DMBD 2019.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xiv
  2. Data Analysis

    1. Front Matter

      Pages 1-1
    2. A Visual Analytics on Mortality of Malignant Neoplasm and Organic Food

      • Chien-wen Shen, Irfandi Djailani, Cheng-Wei Tang
      Pages 13-22
    3. Factors Affecting the Big Data Adoption as a Marketing Tool in SMEs

      • Jesús Silva, Lissette Hernández-Fernández, Esperanza Torres Cuadrado, Nohora Mercado-Caruso, Carlos Rengifo Espinosa, Felipe Acosta Ortega et al.
      Pages 34-43
    4. RETRACTED CHAPTER: Data Mining to Identify Risk Factors Associated with University Students Dropout

      • Jesús Silva, Alex Castro Sarmiento, Nicolás María Santodomingo, Norka Márquez Blanco, Wilmer Cadavid Basto, Hugo Hernández P et al.
      Pages 44-52
    5. Citescore of Publications Indexed in Scopus: An Implementation of Panel Data

      • Carolina Henao-Rodríguez, Jenny-Paola Lis-Gutiérrez, Carlos Bouza, Mercedes Gaitán-Angulo, Amelec Viloria
      Pages 53-60
    6. IBA-Buffer: Interactive Buffer Analysis Method for Big Geospatial Data

      • Ye Wu, Mengyu Ma, Luo Chen, Zhinong Zhong
      Pages 61-69
    7. Semi-automated Augmentation of Pandas DataFrames

      • Steven Lynden, Waran Taveekarn
      Pages 70-79
    8. The Temporal Characteristics of a Wandering Along Parallel Semi-Markov Chains

      • Tatiana A. Akimenko, Eugene V. Larkin
      Pages 80-89
  3. Prediction

    1. Front Matter

      Pages 91-91
    2. Analysis and Prediction of Heart Diseases Using Inductive Logic and Image Segmentation

      • S. Anand Hareendran, S. S. Vinod Chandra, Sreedevi Prasad
      Pages 93-103
    3. Customer Retention Prediction with CNN

      • Yen Huei Ko, Ping Yu Hsu, Ming Shien Cheng, Yang Ruei Jheng, Zhi Chao Luo
      Pages 104-113
    4. Analysis of Deep Neural Networks for Automobile Insurance Claim Prediction

      • Aditya Rizki Saputro, Hendri Murfi, Siti Nurrohmah
      Pages 114-123
  4. Clustering

    1. Front Matter

      Pages 133-133
    2. Strategy for the Selection of Reactive Power in an Industrial Installation Using K-Means Clustering

      • Fredy Martínez, Fernando Marínez, Edwar Jacinto
      Pages 146-153

Other Volumes

  1. Data Mining and Big Data

    4th International Conference, DMBD 2019, Chiang Mai, Thailand, July 26–30, 2019, Proceedings

About this book

This book constitutes the refereed proceedings of the 4th International Conference on Data Mining and Big Data, DMBD 2019, held in Chiang Mai, Thailand, in July 2019. The 26 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 79 submissions. 

They are organized in topical sections named: data analysis; prediction; clustering; classification; mining pattern; mining tasks.

Keywords

  • artificial intelligence
  • clustering algorithms
  • data mining
  • data mining techniques
  • information retrieval
  • k-means
  • neural networks
  • recommender systems
  • semantics

Editors and Affiliations

  • Department of Machine Intelligence, Peking University, Beijing, China

    Ying Tan

  • Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

Bibliographic Information

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • ISBN: 978-981-32-9563-6
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 99.99
Price excludes VAT (USA)