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Data Mining and Big Data

Third International Conference, DMBD 2018, Shanghai, China, June 17–22, 2018, Proceedings

  • Conference proceedings
  • © 2018

Overview

Editors:
  1. Ying Tan

    1. Peking University, Beijing, China

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  2. Yuhui Shi

    1. Southern University of Science and Technology, Shenzhen, China

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    You can also search for this editor in PubMed   Google Scholar

  3. Qirong Tang

    1. Tongji University, Shanghai, China

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10943)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

Included in the following conference series:

Conference proceedings info: DMBD 2018.

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Table of contents (74 papers)

  1. Front Matter

    Pages I-XVIII
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  2. Database

    1. Front Matter

      Pages 1-1
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    2. Database Performance Tuning and Query Optimization

      • Sadhana J. Kamatkar, Ajit Kamble, Amelec Viloria, Lissette Hernández-Fernandez, Ernesto García Cali
      Pages 3-11

    3. Profiling Analysis of 10 Years of Rare Disease Research Using Scientific Literature

      • Hongmei Guo, Na Hong, Zhesi Shen, Wenfei Duan, Zhixiong Zhang
      Pages 12-22

    4. Bibliometric Analysis of Social Innovation and Complexity (Databases Scopus and Dialnet 2007–2017)

      • Mercedes Gaitán-Angulo, Jenny Cubillos Díaz, Amelec Viloria, Jenny-Paola Lis-Gutiérrez, Paula Alejandra Rodríguez-Garnica
      Pages 23-30

  3. Data Preprocessing

    1. Front Matter

      Pages 31-31
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    2. Methodology for the Reduction and Integration of Data in the Performance Measurement of Industries Cement Plants

      • Noel Varela Izquierdo, Henrry Ricardo Cabrera, Guillermo Lopez Carvajal, Amelec Viloria, Mercedes Gaitán Angulo, Maury-Ardila Henry
      Pages 33-42

    3. Models of Multivariate Regression for Labor Accidents in Different Production Sectors: Comparative Study

      • Omar Bonerge Pineda Lezama, Noel Varela Izquierdo, Damayse Pérez Fernández, Rafael Luciano Gómez Dorta, Amelec Viloria, Ligia Romero Marín
      Pages 43-52

    4. Label Propagation Algorithm Based on Adaptive H Index

      • Xiaoxiang Zhu, Zhengyou Xia
      Pages 53-64

    5. A Comparative Study Between Feature Selection Algorithms

      • Víctor Hugo Medina Garcia, Jorge Rodriguez Rodriguez, Miguel Angel Ospina Usaquén
      Pages 65-76

    6. Human Occupation as a Complex System

      • Yury Arenis Olarte Arias, Manuel-Ignacio Balaguera, Mercedes Gaitán-Angulo, Jenny-Paola Lis-Gutiérrez, Amelec Viloria, Ana Hernández Chacín
      Pages 77-86

  4. Matrix Factorization

    1. Front Matter

      Pages 87-87
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    2. A Comparative Study of Network Embedding Based on Matrix Factorization

      • Xin Liu, Kyoung-Sook Kim
      Pages 89-101

    3. Explainable Matrix Factorization with Constraints on Neighborhood in the Latent Space

      • Shuo Wang, Hui Tian, Xuzhen Zhu, Zhipeng Wu
      Pages 102-113

    4. Optimization Matrix Factorization Recommendation Algorithm Based on Rating Centrality

      • Zhipeng Wu, Hui Tian, Xuzhen Zhu, Shuo Wang
      Pages 114-125

  5. Data Analysis

    1. Front Matter

      Pages 127-127
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    2. An Entropy-Based Similarity Measure for Collaborative Filtering

      • Soojung Lee
      Pages 129-137

    3. Three-Segment Similarity Measure Model for Collaborative Filtering

      • Fangyi Hu
      Pages 138-148

    4. Factor Analysis of the Psychosocial Risk Assessment Instrument

      • Nunziatina Bucci, Marisabel Luna, Amelec Viloria, Judith Hernández García, Alexander Parody, Noel Varela et al.
      Pages 149-158

    5. Combination of Case-Based Reasoning and Data Mining Through Integration with the Domain Ontology

      • Tatiana Avdeenko, Ekaterina Makarova, Samal Begenova
      Pages 159-167
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  1. Data Mining and Big Data

Keywords

About this book

This book constitutes the refereed proceedings of the Third International Conference on Data Mining and Big Data, DMBD 2018, held in Shanghai, China, in June 2018. The 74 papers presented in this volume were carefully reviewed and selected from 126 submissions. They are organized in topical sections named: database, data preprocessing, matrix factorization, data analysis, visualization, visibility analysis, clustering, prediction, classification, pattern discovery, text mining and knowledge management, recommendation system in social media, deep learning, big data, Industry 4.0, practical applications

Editors and Affiliations

  • Peking University, Beijing, China

    Ying Tan

  • Southern University of Science and Technology, Shenzhen, China

    Yuhui Shi

  • Tongji University, Shanghai, China

    Qirong Tang

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