Dec 22, 2012 · In this paper, we are concerned mainly with heterogeneous databases that hold aggregates on a set of attributes, which are often the result of ...
We are concerned with clustering distributed databases that hold aggregate count data (categorical data) in the form of datacubes on a set of attributes that ...
In this paper, we propose a model-based clustering method on semantically heterogeneous distributed databases that can cope with these two requirements. ... data ...
In this paper, we propose a model-based clustering method for aggregate databases, where the heterogeneous schema structure is due to the heterogeneous ...
A model-based clustering method for aggregate databases, where the heterogeneous schema structure is due to theheterogeneous classification schema, ...
Clustering of distributed databases facilitates learning of new concepts that characterise common features of, and differences between, datasets. We are here ...
Clustering semantically heterogeneous distributed aggregate databases. https://doi.org/10.1007/s10115-012-0588-4 ·. Видання: Knowledge and Information Systems ...
Clustering semantically heterogeneous distributed aggregate databases ; 作者：Shuai Zhang, Sally I. McClean, Bryan W. Scotney ; 论文关键词： ...
Mar 14, 2023 · In this paper, we propose a model-based clustering method on semantically heterogeneous distributed databases that can cope with these two ...
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In this paper, we propose a model-based clustering method for aggregate databases, where the heterogeneous schema structure is due to the heterogeneous ...