The Intentional Analytics Model (IAM) is a new paradigm to couple OLAP and analytics. It relies on two ideas: (i) letting the user explore data by expressing his/her analysis intentions rather than the data (s)he needs, and (ii) returning enhanced cubes, i.e., multidimensional data annotated with knowledge insights in the form of model components (e.g., clusters). In this paper we propose a proof-of-concept for the IAM vision by delivering an end-to-end implementation of describe, one of the five intention operators introduced by IAM.
Matteo Francia, E.G. (2022). Describing Multidimensional Data Through Highlights.
Describing Multidimensional Data Through Highlights
Matteo Francia
;Enrico Gallinucci;Matteo Golfarelli;Stefano Rizzi
2022
Abstract
The Intentional Analytics Model (IAM) is a new paradigm to couple OLAP and analytics. It relies on two ideas: (i) letting the user explore data by expressing his/her analysis intentions rather than the data (s)he needs, and (ii) returning enhanced cubes, i.e., multidimensional data annotated with knowledge insights in the form of model components (e.g., clusters). In this paper we propose a proof-of-concept for the IAM vision by delivering an end-to-end implementation of describe, one of the five intention operators introduced by IAM.File in questo prodotto:
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