The Intentional Analytics Model (IAM) has been recently envisioned as a new paradigm to couple OLAP and analytics. It relies on two basic ideas: (i) letting the user explore data by expressing her analysis intentions rather than the data she 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 provide 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. Among the research challenges left open in IAM, those we address are (i) automatically tuning the size of models (e.g., the number of clusters), (ii) selecting the most effective chart or graph for visualizing each cube depending on its features, and (iii) devising a visual metaphor to display enhanced cubes and interact with them.

The Tell-Tale Cube / Antoine Chédin, Matteo Francia, Patrick Marcel, Veronika Peralta, Stefano Rizzi. - STAMPA. - (2020), pp. 204-218. (Intervento presentato al convegno 24th European Conference on Advances in Databases and Information Systems tenutosi a Lyon, France nel August 25-27, 2020) [10.1007/978-3-030-54832-2_16].

The Tell-Tale Cube

Matteo Francia;Stefano Rizzi
2020

Abstract

The Intentional Analytics Model (IAM) has been recently envisioned as a new paradigm to couple OLAP and analytics. It relies on two basic ideas: (i) letting the user explore data by expressing her analysis intentions rather than the data she 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 provide 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. Among the research challenges left open in IAM, those we address are (i) automatically tuning the size of models (e.g., the number of clusters), (ii) selecting the most effective chart or graph for visualizing each cube depending on its features, and (iii) devising a visual metaphor to display enhanced cubes and interact with them.
2020
Proceedings 24th European Conference on Advances in Databases and Information Systems
204
218
The Tell-Tale Cube / Antoine Chédin, Matteo Francia, Patrick Marcel, Veronika Peralta, Stefano Rizzi. - STAMPA. - (2020), pp. 204-218. (Intervento presentato al convegno 24th European Conference on Advances in Databases and Information Systems tenutosi a Lyon, France nel August 25-27, 2020) [10.1007/978-3-030-54832-2_16].
Antoine Chédin, Matteo Francia, Patrick Marcel, Veronika Peralta, Stefano Rizzi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/758841
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