{"id":145,"date":"2021-09-26T15:35:15","date_gmt":"2021-09-26T15:35:15","guid":{"rendered":"https:\/\/eic.cefet-rj.br\/kdmile2021\/?page_id=145"},"modified":"2021-10-08T11:26:17","modified_gmt":"2021-10-08T11:26:17","slug":"program","status":"publish","type":"page","link":"https:\/\/eic.cefet-rj.br\/kdmile2021\/program\/","title":{"rendered":"Program"},"content":{"rendered":"\n

See the joint SBBD\/KDMiLe program in a single PDF file here<\/a><\/strong><\/em>.<\/p>\n\n\n\n

Opening session (05\/10, 13h30)<\/h2>\n\n\n\n

Zoom meeting<\/a> (subscription link)
Youtube<\/a> (open broadcast<\/span>)<\/span>
<\/p>\n\n\n\n

Technical sessions <\/h2>\n\n\n\n

KS1 – Text Mining<\/em> (05\/10, 08h30-10h00)<\/h3>\n\n\n\n

Zoom meeting<\/a> (subscription link<\/span>)
Youtube<\/a> (open broadcast)<\/span><\/p>\n\n\n\n

  1. Using Named Entities for Recognizing Family Relationships<\/em><\/strong> – Elias de Oliveira, Juliana Pirovani, Jaimel Lima and Gabriel Dias. (08h:30-08h45)<\/li>
  2. Text Classification in Law Area: a Systematic Review<\/strong><\/em> – Victor Martins and Cleison Silva. 08h:45-09h00<\/li>
  3. Topic Modeling of Committee Discussions in the Brazilian Chamber of Deputies<\/strong><\/em> – M. A. dos Santos, N. Andrade and F. Morais. (09h00-09h:15)<\/li>
  4. Enriching datasets for sentiment analysis in tweets with instance selection<\/strong><\/em> – Eliseu Guimar\u00e3es, Daniela Vianna, Aline Paes and Alexandre Plastino. (09h:15-09h:30)<\/li>
  5. Pro\/Anti-vaxxers in Brazil: a temporal analysis of COVID vaccination stance in Twitter<\/strong><\/em> – Andre Sousa and Karin Becker. (09h:30-09h:45)<\/li>
  6. How concept drift can impair the classification of fake news<\/strong><\/em> – Renato M. Silva and Tiago Almeida. (09h:45-10h:00)<\/li><\/ol>\n\n\n\n

    KS2 – Streams, Time Series and Algorithms<\/em> (06\/10, 10h30-11h30)<\/h3>\n\n\n\n

    Zoom meeting<\/a> (subscription link<\/span>)
    Youtube<\/a> (open broadcast<\/span><\/span>) <\/span><\/p>\n\n\n\n

    1. A sketch for the KS test for Big Data<\/strong><\/em> – Thalis D. Galeno, Jo\u00e3o Gama and Douglas O. Cardoso. (10h:30-10h:45)<\/li>
    2. Comparing ARIMA and LSTM models to predict time series in the oil industry using multiple output strategy<\/strong><\/em> – Jaqueline B. Correia, Marcos Pivetta, Givanildo Santana do Nascimento and Karin Becker. (10h:45-11h:00)<\/li>
    3. A Machine Learning Approach to Interpolating Indoors Trajectories<\/strong><\/em> – Daniel Carvalho, Daniel Sullivan, Rafael Almeida and Carlos Caminha. (11h:00-11h:15)<\/li>
    4. Characterizing and understanding ensemble-based anomaly-detection<\/strong><\/em> – Gustavo de Paula Avelar, Guilherme Oliveira Campos and Wagner Meira Jr. (11h:15-11h:00)<\/li><\/ol>\n\n\n\n

      KS3 – Applications I<\/em> (06\/10, 11h30-12h30)<\/h3>\n\n\n\n

      Zoom meeting<\/a> (subscription link<\/span>)
      Youtube<\/a> (open broadcast<\/span><\/span>) <\/span><\/p>\n\n\n\n

      1. Study of the evolution of antiemetic treatment through the application of Triadic Formal Concept Analysis<\/strong><\/em> – Lucas Ferreira, Cristiane Nobre, Luis Zarate and Mark Song. (11h:30-11h:45)<\/li>
      2. Commodities trend link prediction on heterogeneous information networks<\/strong><\/em> – Paulo Do Carmo, Ivan Jos\u00e9 dos Reis Filho and Ricardo Marcacini. (11h:45-12h:00)<\/li>
      3. Low-Cost Machine Learning for Effective and Efficient Bad Smells Detection<\/strong><\/em> – Jos\u00e9 Figuer\u00eado, Victor Sarinho and Rodrigo Calumby.(12h:00-12h:15)<\/li>
      4. Combining clustering and regression models for recommending researchers<\/strong><\/em> – Jaimel Lima and Elias Oliveira. (12h:15-12h:30)<\/li><\/ol>\n\n\n\n

        KS4 – Applications<\/em> II<\/em> (07\/10, 16h00-17h30)<\/h3>\n\n\n\n

        Zoom meeting<\/a> (subscription link<\/span>)
        Youtube<\/a> (open broadcast<\/span><\/span>)<\/span><\/p>\n\n\n\n

        1. Analysis and Prediction of Childhood Pneumonia Deaths using Machine Learning Algorithms<\/strong><\/em> – Felipe Soares, Efrem Lousada, Tiago Silveira, Raquel Mini, Luis Z\u00e1rate and Henrique Freitas. (16h:00-16h:15)<\/li>
        2. Evaluation of Machine Learning Models for Estimating Sales in Physical Retail<\/strong><\/em> – Geovanne O. Alves, Jorge C. B. Fonseca and Alexandre M.A. Maciel. (16h:15-16h:30)<\/li>
        3. Classification of Newborns with Congenital Syndrome Associated with Zika Virus Infection Using Machine Learning<\/strong><\/em> – \u00c9rika G. de Assis, Luis H. Z\u00e1rate and Cristiane Neri Nobre. (16h:30-16h:45)<\/li>
        4. Credit scoring development in the light of the new Brazilian General Data Protection Law<\/strong><\/em> – Robinson Oliveira. (16h:45-17h:00)<\/li>
        5. Combining Data Mining Techniques to Analyse Factors Associated with Allocation of Socioeconomic Resources at IFMG <\/strong><\/em>– Eduardo Melo, Elisa Tuler and Leonardo Rocha. (17h:00-17h:15)<\/li>
        6. Survival Prediction for Oral Cancer Patients: A Machine Learning Approach<\/strong><\/em> – Murilo Cruz Lopes, Mar\u00edlia de Matos Amorim, Val\u00e9ria Souza Freitas and Rodrigo Tripodi Calumby. (17h:15-17h:30)<\/li><\/ol>\n\n\n\n

          Keynote presentations<\/h2>\n\n\n\n

          KSN1 (05\/10, 10h45 -12h00)<\/h3>\n\n\n\n

          Zoom meeting<\/a> (subscription link<\/span>)
          Youtube<\/a> (open broadcast<\/span><\/span>)<\/span><\/p>\n\n\n\n

          Ci\u00eancia de Dados no Enfrentamento de Surtos, Epidemias e Pandemias em Hospitais<\/a><\/strong><\/em> – Ana Carolina Lorena (Divis\u00e3o de Ci\u00eancia da Computa\u00e7\u00e3o, ITA).<\/p>\n\n\n\n

          KSN2 (07\/10, 10h45 -12h00)<\/h3>\n\n\n\n

          Zoom meeting<\/a> (subscription link<\/span>)
          Youtube<\/a> (open broadcast<\/span><\/span>) <\/span>

          Modelagem Baseada em Agentes Orientada a Dados: Unindo Ci\u00eancia de Dados e Modelos Te\u00f3ricos para Compreender a Realidade<\/a><\/strong><\/em> – Eric Fernandes de Mello Ara\u00fajo (Departamento de Ci\u00eancia da Computa\u00e7\u00e3o, UFLA).<\/p>\n\n\n\n

          Best papers awards session<\/h2>\n\n\n\n

          Zoom meeting<\/a>\u00a0(subscription link<\/span><\/span>)
          Youtube<\/a>\u00a0(open broadcast<\/span><\/span><\/span>) <\/p>\n\n\n\n

          Closing session (08\/10, 18h30)<\/h2>\n\n\n\n

          Zoom meeting<\/a>\u00a0(subscription link<\/span><\/span>)
          Youtube<\/a>\u00a0(open broadcast<\/span><\/span><\/span><\/span>)<\/p>\n","protected":false},"excerpt":{"rendered":"

          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) Using Named Entities for Recognizing Family Relationships – Elias de Oliveira, Juliana Pirovani, Jaimel Lima and Gabriel Dias. (08h:30-08h45) Text… Continue reading Program<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-145","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/eic.cefet-rj.br\/kdmile2021\/wp-json\/wp\/v2\/pages\/145","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eic.cefet-rj.br\/kdmile2021\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/eic.cefet-rj.br\/kdmile2021\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/kdmile2021\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eic.cefet-rj.br\/kdmile2021\/wp-json\/wp\/v2\/comments?post=145"}],"version-history":[{"count":26,"href":"https:\/\/eic.cefet-rj.br\/kdmile2021\/wp-json\/wp\/v2\/pages\/145\/revisions"}],"predecessor-version":[{"id":210,"href":"https:\/\/eic.cefet-rj.br\/kdmile2021\/wp-json\/wp\/v2\/pages\/145\/revisions\/210"}],"wp:attachment":[{"href":"https:\/\/eic.cefet-rj.br\/kdmile2021\/wp-json\/wp\/v2\/media?parent=145"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}