The design and implementation of an OLAP system for sequence data analysis
The design and implementation of an OLAP system for sequence data analysis
We design a novel online analytical processing system for sequence data analysis (the S-OLAP system). The biggest distinction of S-OLAP from traditional OLAP is that a sequence can be characterized not only by the attributes' values of its constituting items, but also by the subsequence/substring patterns it possesses. Traditional OLAP systems and techniques were not designed for sequence data and thus they are incapable of supporting sequence data analysis. This paper describes my Ph.D research on the design and implementation of the S-OLAP system. The proposed system is able to support "pattern-based" grouping and aggregation, which is currently not supported by any OLAP system. The preliminary ideas, significant research issues as well as major challenges of this ongoing project are presented.
- University of Hong Kong China (People's Republic of)
- University of Hong Kong (香港大學) China (People's Republic of)
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