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Online Clustering of High-Dimensional Trajectories under Concept Drift

, , and . Machine Learning and Knowledge Discovery in Databases, volume 6912 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2011)

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

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DOI:
10.1007/978-3-642-23783-6_17
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