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- W1569183990 abstract "Deviation detection is an important problem of both data and text mining. In this paper we consider the detection of deviations in a set of texts represented as conceptual graphs. In contrast with statistical and distance-based approaches, the method we propose is based on the concept of generalization and regularity. Among its main characteristics are the detection of rare patterns (that attempt to give a generalized description of rare texts) and the ability to discover local deviations (deviations at different contexts and generalization levels). The method is illustrated with the analysis of a set of computer science papers." @default.
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- W1569183990 date "2002-01-01" @default.
- W1569183990 modified "2023-09-28" @default.
- W1569183990 title "Detecting Deviations in Text Collections: An Approach Using Conceptual Graphs" @default.
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- W1569183990 doi "https://doi.org/10.1007/3-540-46016-0_19" @default.
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