Conference Proceedings

Mining generalised emerging patterns

Xiaoyuan Qian, James Bailey, Christopher Leckie, A Sattar (ed.), BH Kang (ed.)

AI 2006: ADVANCES IN ARTIFICIAL INTELLIGENCE, PROCEEDINGS | SPRINGER-VERLAG BERLIN | Published : 2006

Abstract

Emerging Patterns (EPs) are a data mining model that is useful as a means of discovering distinctions inherently present amongst a collection of datasets. However, current EP mining algorithms do not handle attributes whose values are asscociated with taxonomies (is-a hierarchies). Current EP mining techniques are restricted to using only the leaf-level attribute-values in a taxonomy. In this paper, we formally introduce the problem of mining generalised emerging patterns. Given a large data set, where some attributes are hierarchical, we find emerging patterns that consist of items at any level of the taxonomies. Generalised EPs are more concise and interpretable when used to describe some ..

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Grants

Funding Acknowledgements

This research was supported in part by the Australian Research Council.