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Mining Heterogeneous Multidimensional Sequential Patterns

Published in Frontiers in artificial intelligence and applications • Jan 1, 2014
NobleIDNI7P41W92R29S08
Authors:
Elias Egho
,
Chedy Raïssi
,
Nicolas Jay

Abstract

All domains of science and technology produce large and heterogeneous data. Although much work has been done in this area, mining such data is still a challenge. No previous research targets the mining of heterogeneous multidimensional sequential data. In this work, we present a new approach to extr...

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