TY - CHAP U1 - Konferenzveröffentlichung A1 - Schaidnagel, Michael A1 - Laux, Fritz A1 - Connolly, Thomas ED - Zimmermann, Alfred ED - Rossmann, Alexander T1 - Using feature construction for dimensionality reduction in big data scenarios to allow real time classification of sequence data T2 - Digital enterprise computing (DEC 2015) N2 - A sequence of transactions represents a complex and multi dimensional type of data. Feature construction can be used to reduce the data´s 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. KW - feature construction KW - real time classification KW - big data Y1 - 2015 U6 - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-6154 UN - https://nbn-resolving.org/urn:nbn:de:bsz:rt2-opus4-6154 UR - http://subs.emis.de/LNI/Proceedings/Proceedings244/article7.html SN - 978-3-88579-638-1 SB - 978-3-88579-638-1 SP - 259 EP - 269 S1 - 11 PB - Gesellschaft für Informatik CY - Bonn ER -