通过意向分析描述和评估多维数据集

Matteo Francia, M. Golfarelli, S. Rizzi
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引用次数: 0

摘要

意向分析模型(IAM)被设想为一种紧密耦合OLAP和分析的方法,它可以(i)让用户探索多维数据集,说明他们的意图,(ii)以数据子集注释的形式返回多维数据,并附带知识见解。本演示的目标是使用笔记本展示IAM方法,用户可以通过编写描述和评估语句创建数据探索会话,其结果通过组合表格数据和图表显示,从而将发现的亮点引起用户的注意。演示计划将展示IAM方法在支持数据探索和分析方面的有效性,以及与传统OLAP会话相比的附加价值,该计划提出了两种带有引导交互的场景,并允许用户运行自定义会话。
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Describing and Assessing Cubes Through Intentional Analytics
The Intentional Analytics Model (IAM) has been envisioned as a way to tightly couple OLAP and analytics by (i) letting users explore multidimensional cubes stating their intentions, and (ii) returning multidimensional data coupled with knowledge insights in the form of annotations of subsets of data. Goal of this demonstration is to showcase the IAM approach using a notebook where the user can create a data exploration session by writing describe and assess statements, whose results are displayed by combining tabular data and charts so as to bring the highlights discovered to the user’s attention. The demonstration plan will show the effectiveness of the IAM approach in supporting data exploration and analysis and its added value as compared to a traditional OLAP session by proposing two scenarios with guided interaction and letting users run custom sessions.
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