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Computing appropriate representations for multidimensional data
2003
Data & Knowledge Engineering
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
doi:10.1016/s0169-023x(02)00179-9
fatcat:foav3rrey5clndz2bpmcnt2rlu