Program

See the joint SBBD/KDMiLe program in a single PDF file here.

Opening session (05/10, 13h30)

Zoom meeting (subscription link)
Youtube (open broadcast)

Technical sessions

KS1 – Text Mining (05/10, 08h30-10h00)

Zoom meeting (subscription link)
Youtube (open broadcast)

  1. Using Named Entities for Recognizing Family Relationships – Elias de Oliveira, Juliana Pirovani, Jaimel Lima and Gabriel Dias. (08h:30-08h45)
  2. Text Classification in Law Area: a Systematic Review – Victor Martins and Cleison Silva. 08h:45-09h00
  3. Topic Modeling of Committee Discussions in the Brazilian Chamber of Deputies – M. A. dos Santos, N. Andrade and F. Morais. (09h00-09h:15)
  4. Enriching datasets for sentiment analysis in tweets with instance selection – Eliseu Guimarães, Daniela Vianna, Aline Paes and Alexandre Plastino. (09h:15-09h:30)
  5. Pro/Anti-vaxxers in Brazil: a temporal analysis of COVID vaccination stance in Twitter – Andre Sousa and Karin Becker. (09h:30-09h:45)
  6. How concept drift can impair the classification of fake news – Renato M. Silva and Tiago Almeida. (09h:45-10h:00)

KS2 – Streams, Time Series and Algorithms (06/10, 10h30-11h30)

Zoom meeting (subscription link)
Youtube (open broadcast)

  1. A sketch for the KS test for Big Data – Thalis D. Galeno, João Gama and Douglas O. Cardoso. (10h:30-10h:45)
  2. Comparing ARIMA and LSTM models to predict time series in the oil industry using multiple output strategy – Jaqueline B. Correia, Marcos Pivetta, Givanildo Santana do Nascimento and Karin Becker. (10h:45-11h:00)
  3. A Machine Learning Approach to Interpolating Indoors Trajectories – Daniel Carvalho, Daniel Sullivan, Rafael Almeida and Carlos Caminha. (11h:00-11h:15)
  4. Characterizing and understanding ensemble-based anomaly-detection – Gustavo de Paula Avelar, Guilherme Oliveira Campos and Wagner Meira Jr. (11h:15-11h:00)

KS3 – Applications I (06/10, 11h30-12h30)

Zoom meeting (subscription link)
Youtube (open broadcast)

  1. Study of the evolution of antiemetic treatment through the application of Triadic Formal Concept Analysis – Lucas Ferreira, Cristiane Nobre, Luis Zarate and Mark Song. (11h:30-11h:45)
  2. Commodities trend link prediction on heterogeneous information networks – Paulo Do Carmo, Ivan José dos Reis Filho and Ricardo Marcacini. (11h:45-12h:00)
  3. Low-Cost Machine Learning for Effective and Efficient Bad Smells Detection – José Figuerêdo, Victor Sarinho and Rodrigo Calumby.(12h:00-12h:15)
  4. Combining clustering and regression models for recommending researchers – Jaimel Lima and Elias Oliveira. (12h:15-12h:30)

KS4 – Applications II (07/10, 16h00-17h30)

Zoom meeting (subscription link)
Youtube (open broadcast)

  1. Analysis and Prediction of Childhood Pneumonia Deaths using Machine Learning Algorithms – Felipe Soares, Efrem Lousada, Tiago Silveira, Raquel Mini, Luis Zárate and Henrique Freitas. (16h:00-16h:15)
  2. Evaluation of Machine Learning Models for Estimating Sales in Physical Retail – Geovanne O. Alves, Jorge C. B. Fonseca and Alexandre M.A. Maciel. (16h:15-16h:30)
  3. Classification of Newborns with Congenital Syndrome Associated with Zika Virus Infection Using Machine Learning – Érika G. de Assis, Luis H. Zárate and Cristiane Neri Nobre. (16h:30-16h:45)
  4. Credit scoring development in the light of the new Brazilian General Data Protection Law – Robinson Oliveira. (16h:45-17h:00)
  5. Combining Data Mining Techniques to Analyse Factors Associated with Allocation of Socioeconomic Resources at IFMG – Eduardo Melo, Elisa Tuler and Leonardo Rocha. (17h:00-17h:15)
  6. Survival Prediction for Oral Cancer Patients: A Machine Learning Approach – Murilo Cruz Lopes, Marília de Matos Amorim, Valéria Souza Freitas and Rodrigo Tripodi Calumby. (17h:15-17h:30)

Keynote presentations

KSN1 (05/10, 10h45 -12h00)

Zoom meeting (subscription link)
Youtube (open broadcast)

Ciência de Dados no Enfrentamento de Surtos, Epidemias e Pandemias em Hospitais – Ana Carolina Lorena (Divisão de Ciência da Computação, ITA).

KSN2 (07/10, 10h45 -12h00)

Zoom meeting (subscription link)
Youtube (open broadcast)

Modelagem Baseada em Agentes Orientada a Dados: Unindo Ciência de Dados e Modelos Teóricos para Compreender a Realidade – Eric Fernandes de Mello Araújo (Departamento de Ciência da Computação, UFLA).

Best papers awards session

Zoom meeting (subscription link)
Youtube (open broadcast)

Closing session (08/10, 18h30)

Zoom meeting (subscription link)
Youtube (open broadcast)