Program

13-Oct (Tuesday)

  • 09:00 - 09:30 : Registration
  • 09:30 - 11:00 : Short Course I - Introduction to Machine Learning (Part I) slides
    Prof. André C. P. L. F. de Carvalho (USP)
  • 11:00 - 11:30 : Coffee-Break
  • 11:30 - 13:00 : Short Course I - Introduction to Machine Learning (Part II)
    Prof. André C. P. L. F. de Carvalho (USP)
  • 13:00 - 14:30 : Lunch Interval
  • 14:30 - 16:00 : Short Course II - Four Paradigms in Data Mining (Part I) slides
    Prof. Wagner Meira Jr. (UFMG)
  • 16:00 - 16:30 : Coffee-Break
  • 16:30 - 18:00 : Short Course II - Four Paradigms in Data Mining (Part II)
    Prof. Wagner Meira Jr (UFMG)

14-Oct (Wednesday)

  • 09:00 - 09:30 : Registration
  • 09:30 - 11:00 : KDMiLe Technical Session I
  • 11:00 - 11:30 : Coffee-Break
  • 11:30 - 13:00 : SBBD Invited Talk - Prof. Mike Carey (UC Irvine)
  • 13:00 - 14:30 : Lunch Interval
  • 14:30 - 16:00 : KDMiLe Panel on Data Science, Big Data and Cognitive Computing
  • 16:00 - 16:30 : Coffee-Break
  • 16:30 - 18:00 : KDMiLe Technical Session II
  • 18:00 - 19:00 : SBBD Minute Madness
  • 19:00 - 20:00 : Opening Ceremony
  • 20:00 - 21:00 : Welcome Cocktail

15-Oct (Thrusday)

  • 09:00 - 09:30 : Registration
  • 09:30 - 11:00 : KDMiLe Technical Session III
  • 11:00 - 11:30 : Coffee-Break
  • 11:30 - 13:00 : SBBD Invited Talk - Profa. Ana Maria Moura (LNCC)
  • 13:00 - 14:30 : Lunch Interval
  • 14:30 - 16:00 : KDMiLe Tutorial - Mining Data in Cognitive Era:
    Ana Paula Appel (IBM Research Brazil)
    Heloisa Candello (IBM Research Brazil)
  • 16:00 - 16:30 : Coffee-Break
  • 16:30 - 18:00 : KDMiLe Technical Session IV
  • 20:00 - 22:00 : Conference Dinner (not included in the registration fee)


Technical Session I: Recommender Systems and Sentiment Analysis

Antonio Felipe P. Bezerra (IME) and Julio Cesar Duarte (IME)
A Social Approach for the Cold-Start Issue on Recommender Systems Based on the Extraction and Analysis of Web Resources (Full Paper)

Crícia Z. Felício (IFTM), Klérisson Paixão (UFU), Guilherme Alves (UFU) and Sandra de Amo (UFU)
Social PrefRec framework: leveraging recommender systems based on social information (Full Paper)

Ivone Penque Matsuno (USP), Rafael Rossi (USP), Ricardo Marcacini (UFMGS) and Solange Rezende (USP)
Análise de Sentimentos baseada em Aspectos usando Aprendizado Semissupervisionado em Redes Heterogêneas (Short paper)

Fabíola S. F. Pereira (UFU) and Sandra de Amo (UFU)
Mineração de Preferências do Usuário em Textos de Redes Sociais usando Sentenças Comparativas (Short paper)


Technical Session II: Mining and Learning Algorithms I

Kathrin Rodríguez (PUC Rio), Noel Moreno (LNCC) and Marco Antonio Casanova (PUC Rio)
From the sensor data streams to linked streaming data. A survey of main approaches (Full Paper)

Walter Perez (USP) and Denis Mauá (USP)
Initialization Heuristics for Greedy Bayesian Network Structure Learning (Full Paper)

Gustavo Souto (Dortmund University) and Thomas Liebig (Dortmund University)
Analyzing the Correlation Among Traffic Loop Sensors to Detect Anomalies in Traffic Loop Data Streams (Full Paper)


Technical Session III: Mining and Learning Algorithms II

Loïc Cerf (UFMG)
Padrões de Alta Utilidade em Relações N-árias Fuzzy (Full Paper)

Mariana Tasca (UFF), Alexandre Plastino (UFF), Celso Ribeiro (UFF) and Bianca Zadrozny (IBM Research Brazil)
An Effective Strategy for Feature Selection in High-Dimensional Datasets (Full Paper)

Clebson Sá (UFMG), Marcos Gonçalves (UFMG), Daniel Sousa (UFMG) and Thiago Salles (UFMG)
Aprendendo a Ranquear com Boosting e Florestas Aleatórias: Um Modelo Híbrido (Full Paper)


Technical Session IV: Applications

Allan Sales (UFCG), Leandro Balby (UFCG) and Adalberto Cajueiro (UFCG)
Predicting Student Dropout: A Case Study in Brazilian Higher Education (Full Paper)

Caio Eduardo Ribeiro (PUC Minas) and Luis Enrique Zárate (PUC Minas)
Preparação de Dados Longitudinais: Estudo de Caso em Envelhecimento Humano (Full Paper)

Daniel Gould (Kansas State University), Hitesh Bindra (Kansas State University) and Sanjoy Das (Kansas State University)
Temperature Estimation in Nuclear Grade Graphite Rods Using Laplacian Kernel and Support Vector Regression (Full Paper)