Extending Drill-Down through Semantic Reasoning on Indicator Formulas
作者： Claudia Diamantini , Domenico Potena , Emanuele Storti
DOI: 10.1007/978-3-319-10160-6_6
关键词: Data exploration 、 Mode (statistics) 、 Computation 、 Theoretical computer science 、 Computer science 、 Multidimensional model 、 Formal representation 、 Performance indicator 、 Drill down 、 Operator (computer programming)
摘要: Performance indicators are calculated by composition of more basic pieces information, and/or aggregated along a number different dimensions. The multidimensional model is not able to take into account the compound nature an indicator. In this work, we propose semantic in which formally described together with mathematical formulas needed for their computation. By exploiting formal representation extended drill-down operator defined, capable expand indicator its components, enabling novel mode data exploration. Effectiveness and efficiency briefly discussed on prototype introduced as proof-of concept.
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