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Data Mining and Big Data

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

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Ying Tan

    1. Department of Machine Intelligence, Peking University, Beijing, China

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  2. Yuhui Shi

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

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    You can also search for this editor in PubMed   Google Scholar

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

Included in the following conference series:

Conference proceedings info: DMBD 2019.

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Table of contents (35 papers)

  1. Front Matter

    Pages i-xiv
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  2. Data Analysis

    1. Front Matter

      Pages 1-1
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    2. Exploring Music21 and Gensim for Music Data Analysis and Visualization

      • Somnuk Phon-Amnuaisuk
      Pages 3-12

    3. A Visual Analytics on Mortality of Malignant Neoplasm and Organic Food

      • Chien-wen Shen, Irfandi Djailani, Cheng-Wei Tang
      Pages 13-22

    4. What Are You Reading: A Big Data Analysis of Online Literary Content

      • Xiping Liu, Changxuan Wan
      Pages 23-33

    5. 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

    6. 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

    7. 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

    8. IBA-Buffer: Interactive Buffer Analysis Method for Big Geospatial Data

      • Ye Wu, Mengyu Ma, Luo Chen, Zhinong Zhong
      Pages 61-69

    9. Semi-automated Augmentation of Pandas DataFrames

      • Steven Lynden, Waran Taveekarn
      Pages 70-79

    10. 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
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    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

    5. The Performance of One Dimensional Naïve Bayes Classifier for Feature Selection in Predicting Prospective Car Insurance Buyers

      • Dilla Fadlillah Salma, Hendri Murfi, Devvi Sarwinda
      Pages 124-132
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Keywords

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.

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

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