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Peter Lane: AbstractSuccessful data mining relies on an interaction between computer processing and human analysis. In this talk, I consider two aspects of this interaction: the kind of information a data-mining system might be required to generate, and its interpretation. A large number of data-mining algorithms exist, with many focusing on classification or placing data into groups. I shall look at some domains where human experts require finer interpretations of data than those typically available. I will then consider the kinds of algorithms which might better emulate human reasoning, perhaps supporting more interesting interpretations of data and more interpretable results.
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