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Cloud Computing, Big Data & Emerging Topics

8th Conference, JCC-BD&ET 2020, La Plata, Argentina, September 8-10, 2020, Proceedings

  • Conference proceedings
  • © 2020

Overview

Editors:
  1. Enzo Rucci

    1. III-LIDI, Facultad de Informatica, Universidad Nacional de La Plata and CIC, La Plata, Argentina

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  2. Marcelo Naiouf

    1. III-LIDI, Facultad de Informática, Universidad Nacional de La Plata and CIC, La Plata, Argentina

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  3. Franco Chichizola

    1. III-LIDI, Facultad de Informática, Universidad Nacional de La Plata and CIC, La Plata, Argentina

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  4. Laura De Giusti

    1. III-LIDI, Facultad de Informática, Universidad Nacional de La Plata and CIC, La Plata, Argentina

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1291)

Included in the following conference series:

Conference proceedings info: JCC-BD&ET 2020.

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Table of contents (12 papers)

  1. Front Matter

    Pages i-x
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  2. Cloud, Edge and High-Performance Computing

    1. Front Matter

      Pages 1-1
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    2. Cloud Robotics for Industry 4.0 - A Literature Review

      • Nancy Velásquez Villagrán, Patricia Pesado, Elsa Estevez
      Pages 3-15

    3. An Edge Focused Distributed Shared Memory

      • Matías Teragni, Ricardo Moran, Gonzalo Zabala
      Pages 16-29

    4. Towards a Malleable Tensorflow Implementation

      • Leandro Ariel Libutti, Francisco D. Igual, Luis Piñuel, Laura De Giusti, Marcelo Naiouf
      Pages 30-40

    5. Viral Diseases Propagation Analysis in Short Time

      • Maximiliano Lucero, Natalia Miranda, Fabiana Piccoli
      Pages 41-57

    6. Architectural Design Criteria for Evolvable Data-Intensive Machine Learning Platforms

      • Gonzalo Zarza, Juan José López Murphy
      Pages 58-77

  3. Big Data

    1. Front Matter

      Pages 79-79
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    2. Harmonizing Big Data with a Knowledge Graph: OceanGraph KG Uses Case

      • Marcos Zárate, Carlos Buckle, Renato Mazzanti, Mirtha Lewis, Pablo Fillottrani, Claudio Delrieux
      Pages 81-92

    3. Data Management Optimization in a Real-Time Big Data Analysis System for Intensive Care

      • Rodrigo Cañibano, Claudia Rozas, Cristina Orlandi, Javier Balladini
      Pages 93-107

  4. Machine and Deep Learning

    1. Front Matter

      Pages 109-109
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    2. Reddening-Free Q Indices to Identify Be Star Candidates

      • Yael Aidelman, Carlos Escudero, Franco Ronchetti, Facundo Quiroga, Laura Lanzarini
      Pages 111-123

    3. A Web System Based on Spotify for the automatic generation of affective playlists

      • Pedro Álvarez, Jorge García de Quirós, Sandra Baldassarri
      Pages 124-137

    4. Classification of Summer Crops Using Active Learning Techniques on Landsat Images in the Northwest of the Province of Buenos Aires

      • Lucas Benjamin Cicerchia, María José Abasolo, Claudia Cecilia Russo
      Pages 138-152

    5. Trainable Windowing Coefficients in DNN for Raw Audio Classification

      • Mario Alejandro García, Eduardo Atilio Destéfanis, Ana Lorena Rosset
      Pages 153-166

  5. Correction to: Cloud Computing, Big Data & Emerging Topics

    • Enzo Rucci, Marcelo Naiouf, Franco Chichizola, Laura De Giusti
    Pages C1-C1

  6. Back Matter

    Pages 167-167
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  1. Cloud Computing, Big Data & Emerging Topics

Keywords

About this book

This book constitutes the revised selected papers of the 8th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC-BD&ET 2020, held in La Plata, Argentina*, in September 2020.

The 11 full papers presented were carefully reviewed and selected from a total of 36 submissions. The papers are organized in topical sections of cloud computing and HPC; Big Data and machine and deep learning.

*The conference was held virtually due to the COVID-19 pandemic.

Editors and Affiliations

  • III-LIDI, Facultad de Informatica, Universidad Nacional de La Plata and CIC, La Plata, Argentina

    Enzo Rucci

  • III-LIDI, Facultad de Informática, Universidad Nacional de La Plata and CIC, La Plata, Argentina

    Marcelo Naiouf, Franco Chichizola, Laura De Giusti

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