A Survey on Temporal Data Warehousing
International Journal of Data Warehousing and Mining
Data warehouses are information repositories specialized in supporting decision making. Since the decisional process typically requires an analysis of historical trends, time and its management acquire a huge importance. In this paper we consider the variety of issues, often grouped under term temporal data warehousing, implied by the need for accurately describing how information changes over time in data warehousing systems. We recognize that, with reference to a three-levels architecture,
... ls architecture, these issues can be classified into some topics, namely: handling data/schema changes in the data warehouse, handling data/schema changes in the data mart, querying temporal data, and designing temporal data warehouses. After introducing the main concepts and terminology of temporal databases, we separately survey these topics. Finally, we discuss the open research issues also in connection with their implementation on commercial tools. in the fields of data warehousing, pattern recognition, and mobile robotics. He joined several research projects on the above areas and has been involved in the PANDA thematic network of the European Union concerning pattern-base management systems. His current research interests include data warehouse design and business intelligence, in particular multidimensional modeling, data warehouse evolution, OLAP preferences and what-if analysis.