Data Mining and Big Data

1. Front Matter

   Pages i-xiv

   PDF

2. Data Analysis

   1. Front Matter

      Pages 1-1

      PDF

   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

      PDF

   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

4. Clustering

   1. Front Matter

      Pages 133-133

      PDF

   2. Clustering Study of Crowdsourced Test Report with Multi-source Heterogeneous Information

      • Yan Yang, Xiangjuan Yao, Dunwei Gong

      Pages 135-145

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

      • Fredy Martínez, Fernando Marínez, Edwar Jacinto

      Pages 146-153

   4. A Collaborative Filtering System Using Clustering and Genetic Algorithms

      • Soojung Lee

      Pages 154-161

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.

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

• 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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