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- W154401909 abstract "This paper presents a platform, called QualESTIM, for exploring socioeconomic statistical data (also called indicators). QualESTIM integrates various outlier detection methods that make it possible to evaluate the logical consistency of a dataset, and its quality in fine. Without recourse to ‘ground truth’ of some kind, data values are compared to various spatiotemporal distributions given by statistical models. However, an outlier is not necessarily an error: experts should always interpret the outlying value. That is why we claim here that such a quality assessment process has to be interactive and that metadata associated with such data should be made available in order to refine the analysis. Dedicated to outlier detection and their visualization by an expert, the platform is connected to a database that contains both the data and their metadata, structured according to an ISO 19115 profile. A case study illustrates the interest of this approach." @default.
- W154401909 created "2016-06-24" @default.
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- W154401909 date "2012-01-01" @default.
- W154401909 modified "2023-09-25" @default.
- W154401909 title "QualESTIM: Interactive Quality Assessment of Socioeconomic Data Using Outlier Detection" @default.
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- W154401909 doi "https://doi.org/10.1007/978-3-642-29063-3_8" @default.
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