Fusion Methods for Time-Series Classification

Krisztian Antal Buza obtained his diploma at the Budapest University of Technology and Economics in 2007, and his PhD at the University of Hildesheim in 2011. His work on time-series classification was honored by the Best Paper Award at the renowned conference on Computational Science and Engineering of the Institute of Electrical and Electronics Engineers (IEEE) in 2010.

• Contents: Survey of the state-of-the-art in time-series classification – Individual Quality Estimation – Speeding-up time series classification using instance selection – GRAMOFON, a graph-based ensemble framework – Fusion of time series distance measures – Discovery of recurrent patterns (motifs) in time series – Applications to electrocardiograph signals and web-science problems.