%0 Book Section %1 noKey %A Krempl, Georg %A Siddiqui, Zaigham Faraz %A Spiliopoulou, Myra %B Machine Learning and Knowledge Discovery in Databases %D 2011 %E Gunopulos, Dimitrios %E Hofmann, Thomas %E Malerba, Donato %E Vazirgiannis, Michalis %I Springer Berlin Heidelberg %K IMPRINT drift-mining kmd %P 261-276 %R 10.1007/978-3-642-23783-6_17 %T Online Clustering of High-Dimensional Trajectories under Concept Drift %U http://dx.doi.org/10.1007/978-3-642-23783-6_17 %V 6912 %X Historical transaction data are collected in many applications, e.g., patient histories recorded by physicians and customer transactions collected by companies. An important question is the learning of models upon %@ 978-3-642-23782-9

@incollection{noKey, abstract = {Historical transaction data are collected in many applications, e.g., patient histories recorded by physicians and customer transactions collected by companies. An important question is the learning of models upon }, added-at = {2014-06-20T12:32:18.000+0200}, author = {Krempl, Georg and Siddiqui, Zaigham Faraz and Spiliopoulou, Myra}, biburl = {https://www.bibsonomy.org/bibtex/20db4969da058a279afae280c9b2b07d2/kmd-ovgu}, booktitle = {Machine Learning and Knowledge Discovery in Databases}, doi = {10.1007/978-3-642-23783-6_17}, editor = {Gunopulos, Dimitrios and Hofmann, Thomas and Malerba, Donato and Vazirgiannis, Michalis}, interhash = {623be9f847318cb494c36cca9a49122f}, intrahash = {0db4969da058a279afae280c9b2b07d2}, isbn = {978-3-642-23782-9}, keywords = {IMPRINT drift-mining kmd}, language = {English}, pages = {261-276}, publisher = {Springer Berlin Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2014-09-04T16:02:37.000+0200}, title = {Online Clustering of High-Dimensional Trajectories under Concept Drift}, url = {http://dx.doi.org/10.1007/978-3-642-23783-6_17}, volume = 6912, year = 2011 }