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Information Management and Big Data

5th International Conference, SIMBig 2018, Lima, Peru, September 3–5, 2018, Proceedings

  • Conference proceedings
  • © 2019

Overview

Editors:
  1. Juan Antonio Lossio-Ventura

    1. Biomedical Informatics, College of Medicine, University of Florida, Gainesville, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Denisse Muñante

    1. Fondazione Bruno Kessler, Trento, Italy

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    You can also search for this editor in PubMed   Google Scholar

  3. Hugo Alatrista-Salas

    1. Facultad de Ingeniería, University of the Pacific, Jesús María, Lima, Peru

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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 898)

Included in the following conference series:

Conference proceedings info: SIMBig 2018.

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Table of contents (34 papers)

  1. Front Matter

    Pages I-XIX
    Download chapter PDF

  2. Clinical, Consumer Health, and Visual Question Answering

    • Dina Demner-Fushman
    Pages 1-6

  3. Which Is the Tallest Building in Europe? Representing and Reasoning About Knowledge

    • Ian Horrocks
    Pages 7-12

  4. Data-Driven Requirements Engineering. The SUPERSEDE Way

    • Anna Perini
    Pages 13-18

  5. Word Embeddings and Deep Learning for Spanish Twitter Sentiment Analysis

    • José Ochoa-Luna, Disraeli Ari
    Pages 19-31

  6. Twitter Event Detection in a City

    • Martín Steglich, Raúl Speroni, Juan José Prada
    Pages 32-45

  7. ANEW for Spanish Twitter Sentiment Analysis Using Instance-Based Multi-label Learning Algorithms

    • Rodrigo Palomino, Carlos Meléndez, David Mauricio, Jorge Valverde-Rebaza
    Pages 46-53

  8. An Operational Deep Learning Pipeline for Classifying Life Events from Individual Tweets

    • Xinsong Du, Jiang Bian, Mattia Prosperi
    Pages 54-66

  9. Using Behavior and Text Analysis to Detect Propagandists and Misinformers on Twitter

    • Michael Orlov, Marina Litvak
    Pages 67-74

  10. Analyzing the Retweeting Behavior of Influencers to Predict Popular Tweets, with and Without Considering their Content

    • Matías Gastón Silva, Martín Ariel Domínguez, Pablo Gabriel Celayes
    Pages 75-90

  11. Link Prediction in Co-authorship Networks Using Scopus Data

    • Erik Medina-Acuña, Pedro Shiguihara-Juárez, Nils Murrugarra-Llerena
    Pages 91-97

  12. Aerial Scene Classification and Information Retrieval via Fast Kernel Based Fuzzy C-Means Clustering

    • Zhengmao Ye, Hang Yin, Yongmao Ye
    Pages 98-111

  13. A Case Study of Library Data Management: A New Method to Analyze Borrowing Behavior

    • Luis Cano, Erick Hein, Mauricio Rada-Orellana, Claudio Ortega
    Pages 112-120

  14. Sparkmach: A Distributed Data Processing System Based on Automated Machine Learning for Big Data

    • Gusseppe Bravo-Rocca, Piero Torres-Robatty, Jose Fiestas-Iquira
    Pages 121-128

  15. Deep Dive into Authorship Verification of Email Messages with Convolutional Neural Network

    • Marina Litvak
    Pages 129-136

  16. Monitoring of Air Quality with Low-Cost Electrochemical Sensors and the Use of Artificial Neural Networks for the Atmospheric Pollutants Concentration Levels Prediction

    • Ana Luna, Alvaro Talavera, Hector Navarro, Luis Cano
    Pages 137-150

  17. Data Mining Algorithms for Risk Detection in Bank Loans

    • Alvaro Talavera, Luis Cano, David Paredes, Mario Chong
    Pages 151-159

  18. DETECTOR: Automatic Detection System for Terrorist Attack Trajectories

    • Isaias Hoyos, Bruno Esposito, Miguel Nunez-del-Prado
    Pages 160-173

  19. Car Monitoring System in Apartments’ Garages by Small Autonomous Car Using Deep Learning

    • Leonardo León-Vera, Felipe Moreno-Vera
    Pages 174-181

  20. A Framework for Analytical Approaches to Combine Interpretable Models

    • Pedro Strecht, João Mendes-Moreira, Carlos Soares
    Pages 182-197
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About this book

This book constitutes the refereed proceedings of the 5th International Conference on Information Management and Big Data, SIMBig 2018, held in Lima, Peru, in September 2018.

The 34 papers presented were carefully reviewed and selected from 101 submissions. The papers address issues such as data mining, artificial intelligence, Natural Language Processing, information retrieval, machine learning, web mining.




Editors and Affiliations

  • Biomedical Informatics, College of Medicine, University of Florida, Gainesville, USA

    Juan Antonio Lossio-Ventura

  • Fondazione Bruno Kessler, Trento, Italy

    Denisse Muñante

  • Facultad de Ingeniería, University of the Pacific, Jesús María, Lima, Peru

    Hugo Alatrista-Salas

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