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Temporal Probabilistic Concepts from Heterogeneous Data Sequences
[chapter]
2002
Lecture Notes in Computer Science
We consider the problem of characterisation of sequences of heterogeneous symbolic data that arise from a common underlying temporal pattern. The data, which are subject to imprecision and uncertainty, are heterogeneous with respect to classification schemes, where the class values differ between sequences. However, because the sequences relate to the same underlying concept, the mappings between values, which are not known ab initio, may be learned. Such mappings relate local ontologies, in
doi:10.1007/3-540-46019-5_15
fatcat:c3ovf7ul3jaqthittonjwkecy4