Computing appropriate representations for multidimensional data

✍ Scribed by Yeow Wei Choong; Dominique Laurent; Patrick Marcel

• Book ID: 104308864
• Publisher: Elsevier Science
• Year: 2003
• Tongue: English
• Weight: 320 KB
• Volume: 45
• Category: Article
• ISSN: 0169-023X
• DOI: 10.1016/s0169-023x(02)00179-9

✦ Synopsis

On-line analytical processing (OLAP) provides an interactive query-driven analysis of multidimensional data based on a set of navigational operators like roll-up or slice and dice. In most cases, the analyst is expected to use these operations intuitively to find interesting patterns in a huge amount of data of high dimensionality.

In this paper, we propose an approach to enhance this analysis by preparing the data set so that the analyst can explore it in a more systematic and effective manner. More precisely we define a measurement of the quality of the representation of multidimensional data and we present a framework for investigating the computation of appropriate representations. We identify the problems of computing such representations and study them w.r.t. an OLAP restructuring operator.