Michele Zito

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Graph mining is an important research area within the domain of data mining. The field of study concentrates on the identification of frequent subgraphs within graph data sets. The research goals are directed at: (i) effective mechanisms for generating candidate subgraphs (without generating duplicates) and (ii) how best to process the generated candidate(More)
Geographic profilers have access to a repertoire of strategies for predicting a serial offender’s home location. These strategies range in complexity—some involve more calculations to implement than others—and the assumption often made is that more complex strategies will outperform simpler strategies. In the present study, we tested the relationship(More)
A graph-based approach to document classification is described in this paper. The graph representation offers the advantage that it allows for a much more expressive document encoding than the more standard bag of words/phrases approach, and consequently gives an improved classification accuracy. Document sets are represented as graph sets to which a(More)
BACKGROUND The prognostic impact of masked hypertension is not yet completely clear. The aim of this study was to evaluate the prognostic relevance of masked hypertension in subjects with prehypertension. METHODS The occurrence of fatal and nonfatal cardiovascular events was evaluated in 591 subjects with prehypertension defined as clinic blood pressure(More)