STREAMEVOLV 2016
Large-scale Learning from Data Streams in Evolving Environments

Table of Contents

• Preface
  Moamar Sayed-Mouchaweh , Hamid Bouchachia , João Gama , Rita Paula Ribeiro
• Detecting Events in Evolving Social Networks through Node Centrality Analysis
  Fabiola S. F. Pereira , Sandra de Amo , João Gama
• Online Bagging for Recommendation with Incremental Matrix Factorization
  João Vinagre , Alípio Mário Jorge , João Gama
• First Principle Models Based Dataset Generation for Multi-Target Regression and Multi-Label Classification Evaluation
  Ricardo Sousa , João Gama
• Improving Human Activity Classification through Online Semi-Supervised Learning
  Hugo Cardoso , João Mendes-Moreira
• A Preference-based Stream Analyzer
  Lena Rudenko , Markus Endres , Patrick Roocks , Werner Kießling
• Online Failure Prevention from Connected Heating Systems
  Manuel Mourato , João Mendes-Moreira , Tânia Correia
• Active Learning for Data Streams Under Concept Drift and Concept Evolution
  Saad Mohamad , Moamar Sayed-Mouchaweh , Abdelhamid Bouchachia
• Aggregation Algorithm vs. Average For Time Series Prediction
  Waqas Jamil , Yuri Kaliniskan , Hamid Bouchachia
• Frequent Episode Mining Over the Latest Window Using Approximate Support Counting
  Julie Soulas