An overview of data warehousing and OLAP technology
ACM SIGMOD Record
A conceptual view on trajectories
Data & Knowledge Engineering
Frequent spatio-temporal patterns in trajectory data warehouses
Proceedings of the 2009 ACM symposium on Applied Computing
Building real-world trajectory warehouses
Proceedings of the Seventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
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Sport science is a research discipline that aims to understand exercise and apply scientific methods in support of increasing an athlete's performance. In this paper, we present initial results on modeling, managing and analyzing an athlete's data gathered by sport scientists. An Olympic data warehouse is designed initially to support the monitoring of an athlete's biochemical data. A trajectory data model is extended to represent the athlete's measurements along his/her training states, referred to here as metaphoric trajectories. Furthermore, a data warehouse for metaphoric trajectories is designed and two analysis approaches — a relational and a multidimensional one — are evaluated. We compare both approaches and discuss their benefits to the athlete's follow-up analyses applied by sport scientists. Copyright © 2011 John Wiley & Sons, Ltd.