Gesellschaft für Informatik e.V.

Lecture Notes in Informatics

Digital Enterprise Computing (DEC 2015) P-244, 259-269 (2015).

Gesellschaft für Informatik, Bonn

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Using feature construction for dimensionality reduction in big data scenarios to allow real time classification of sequence data

Michael Schaidnagel , Fritz Laux and Thomas Connolly


A sequence of transactions represents a complex and multi-dimensional type of data. Feature construction can be used to reduce the dataś dimensionality to find behavioural patterns within such sequences. The patterns can be expressed using the blue prints of the constructed relevant features. These blue prints can then be used for real time classification on other sequences.

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Gesellschaft für Informatik, Bonn
ISBN 978-3-88579-638-1

Last changed 06.11.2015 19:13:55