Titlebook: Big Data Analytics and Knowledge Discovery; 25th International C Robert Wrembel,Johann Gamper,Ismail Khalil Conference proceedings 2023 The

使虛弱

Calculating Values Using Operations,ty is context-dependent and this fact should be considered in its management. This work is a step forward to a general mechanism for assessing Data Quality in Data Warehouse considering data context. In addition to presenting our general approach, in this paper we propose two particular data quality

Alcove

https://doi.org/10.1007/978-1-4842-5013-6icle, we present a formal framework based on type theory to prevent technical errors in such compositions of operators. This framework uses restrictions on type definitions to transform technical errors into type errors. We show how to use this framework to prevent errors related to schema or model

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Aerophagia

https://doi.org/10.1007/978-1-4842-6197-2he literature. MotifAug leverages the warping path constructed by MotifDTW, a novel alignment method that uses the Matrix Profile (MP) motif discovery mechanism and Dynamic Time Warping (DTW) to align two time series data instances.

Charlatan

exclusice

https://doi.org/10.1007/978-3-030-41753-6nancial institutions. Existing solutions utilize solely transaction attributes as feature representations without the consideration of direct/indirect interactions between users and transactions, leading to limited accuracy. We formulate anomaly detection in financial transactions as the problem of

PANIC

CHYME

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