Real-World Challenges for Data Stream Mining
Posted by holec.
Real World Issues in Stream Classification |
Vincent Lemaire |
High-Throughput Continuous Clustering of Message Streams |
Oisin Boydell, Marek Landowski, Guangyu Wu and Padraig Cunningham |
Real Time Event Monitoring with Trident |
Igor Brigadir, Derek Greene, Padraig Cunningham and Gavin Sheridan |
Classifiers for Concept-drifting Data Streams: Evaluating Things That Really Matter |
Dariusz Brzezinski and Jerzy Stefanowski |
Analysis of Videos using Tile Mining |
Toon Calders, Elisa Fromont, Baptiste Jeudy and Lam Hoang Thanh |
Early Classification of Individual Electricity Consumptions |
Asma Dachraoui, Alexis Bondu and Antoine Cornuejols |
Anticipative and Dynamic Adaptation to Concept Changes |
Ghazal Jaber, Antoine Cornuejols and Philippe Tarroux |
Survival Analysis Meets Data Stream Mining |
Mark Last and Hezi Halpert |
A Discussion on ISS Columbus Data Streams |
Tino Noack, Enrico Noack, Ingo Schmitt, Sonja Sievi and Sita Mirzakhyl |
Streaming Virtual Patient Records |
Pedro Pereira Rodrigues and Ricardo Cruz-Correia |
Event History Analysis on Data Streams: An Application to Earthquake Occurrence |
Ammar Shaker and Eyke Hullermeier |