Following the constant technological advancements that provide more processing power and storage capacity, scientific applications have emerged as a new field of interest for the database community. Such applications, termed Online Science Applications (OSA), require continuous interaction with datasets of multidimensional nature, mainly for performing statistical analysis. OSA can seriously benefit from the ongoing research for OLAP systems and the pre-calculation of aggregate functions for multidimensional datasets. One of the tools that we see fit for the task in hand is the wavelet transformation. Due to its inherent multi-resolution properties, wavelets can be utilized to provide progressively approximate and eventually fast exact answers to complex queries in the context of Online Science Applications.
Efficient Computation of Iceberg Cubes by Bounding Aggregate Functions
