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In this issue of Expert Update we have included the papers presented at the 1st BCS
SGAI Workshop on Data Stream Mining Techniques and Applications, which was
held on the 13th of December 2016. The workshop was organised by Dr Frederic
Stahl from the University of Reading.
This workshop's focus was on the Velocity dimension of Big Data Analytics. The
difference compared with data that is stored on a disk is that real-time data may
change its characteristics over time and thus poses unique challenges to data mining
techniques. The five papers presented in this special issue cover novel data stream
mining techniques, such as an algorithm for real-time feature tracking and a platform
for real-time classification of document streams. The papers also cover a range of
applications, such as mining TV Twitter network streams, real-time activity
recognition from wearable sensor and insider threat detection.