Abstract. We are concerned with clustering sequences that have been classified according to heterogeneous schema. We adopt a model-based approach that.
Jun 21, 2002 · Each cluster is described in terms of a HMM where we seek to find schema mappings between the states of the original sequences and the states of ...
Each cluster is described in terms of a HMM where we seek to find schema mappings between the states of the original sequences and the states of the HMM. The ...
We are concerned with clustering and characterising gene expression sequences that have been classified according to heterogeneous classification schemes.
Each cluster is described in terms of a HMM where we seek to find schema mappings between the states of the original sequences and the states of the HMM.
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This paper describes a method of clustering and characterising gene expression sequences, classified according to heterogeneous classification schemes. We adopt ...
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Sally I. McClean, Bryan W. Scotney, Fiona Palmer: Conceptual Clustering of Heterogeneous Sequences via Schema Mapping. ISMIS 2002: 85-93.
Conceptual Clustering of Heterogeneous Sequences via Schema Mapping ... clustering sequences that have been classified according to heterogeneous schema ...
These clusters are potential candidates for a mapping between global and local concepts. Since all concepts in a local database comprise a local schema, our ...
The graph thus describes the schema mappings between the local and global ontologies. The correspondence graph for Table 1 is presented in Figure 1 and the.
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