943 citations · 973 across the 6 of their papers we have counts for
4 papers · 1 filter
Learning under Concept Drift: A Review
Jie Lu, Anjin Liu, Fan Dong +3
Concept drift describes unforeseeable changes in the underlying distribution of streaming data over time. Concept drift research involves the development of methodologies and techn…
Contextual One-Class Classification in Data Streams
Richard Hugh Moulton, Herna L. Viktor, Nathalie Japkowicz +1
In machine learning, the one-class classification problem occurs when training instances are only available from one class. It has been observed that making use of this class's str…
A scalable saliency-based Feature selection method with instance level information
Brais Cancela, Verónica Bolón-Canedo, Amparo Alonso-Betanzos +1
Classic feature selection techniques remove those features that are either irrelevant or redundant, achieving a subset of relevant features that help to provide a better knowledge…
Identifying Points of Interest and Similar Individuals from Raw GPS Data
Thiago Andrade, João Gama
Smartphones and portable devices have become ubiquitous and part of everyone's life. Due to the fact of its portability, these devices are perfect to record individuals' traces and…