Pitfalls in benchmarking data stream classification and how to avoid them
MOA : Massive Online Analysis
Kalman Filters and Adaptive Windows for Learning in Data Streams
STRIP: stream learning of influence probabilities.
Efficient Data Stream Classification via Probabilistic Adaptive Windows
Mining Big Data in Real Time
PAKDD 2011 TUTORIAL Handling Concept Drift: Importance, Challenges and Solutions
Métodos Adaptativos de Minería de Datos y Aprendizaje para Flujos de Datos.
Mining Adaptively Frequent Closed Unlabeled Rooted Trees in Data Streams
Sentiment Knowledge Discovery in Twitter Streaming Data
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Adaptive XML Tree Mining on Evolving Data Streams
Mining Implications from Lattices of Closed Trees
Mining Frequent Closed Graphs on Evolving Data Streams
Leveraging Bagging for Evolving Data Streams
New ensemble methods for evolving data streams
Adaptive Learning and Mining for Data Streams and Frequent Patterns
Real-Time Big Data Stream Analytics
Multi-label Classification with Meta-labels