Businesses collect large amounts of data from transactions in order to gain insight into their performance and growth. Decisions must be made based on this data to support the everchanging needs of customers and business requirements. In present days’ the data warehouse has become a popular tool for decision making among businesses. Traditional data warehouses (DW) are subject-oriented, time va...

Geographic Information Systems (GIS) have been extensively used in various application domains, ranging from economical, ecological and demographic analysis, to city and route planning. Nowadays, organizations need sophisticated GIS-based Decision Support System (DSS) to analyze their data with respect to geographic information, represented not only as attribute data, but also in maps. Thus, ve...

Medical informatics has been an important area for the application of computing and database technology for at least four decades. This area may benefit from the functionality offered by data warehousing. However, the special nature of clinical applications poses different and new requirements to data warehousing technologies, over those posed by conventional data warehouse applications. This a...

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Data warehousing and knowledge discovery are established key technologies in many application domains. Enterprises and organizations improve their abilities in data analysis, decision support, and the automatic extraction of knowledge from data; for scientific applications to analyze collected data, for medical applications for quality assurance and for steps to individualized medicine, to ment...

Data warehousing has emerged as an effective technique for converting data into useful information. It is an improved approach to integrate data from multiple, often very large, distributed, heterogeneous databases and other information sources. This paper examines the possibility of using data warehousing techniques in the natural hazards management framework to integrate various functional an...

In heterogeneous data warehousing environments, autonomous data sources are integrated into a materialized integrated database. The schemas of the data sources and the integrated database may be expressed in different modelling languages. It is possible for either the data or the schemas of the data sources to be updated. Incremental view maintenance is one of the problems being addressed in da...

Geographic Information Systems (GIS) have been extensively used in various application domains, ranging from economical, ecological and demographic analysis, to city and route planning. Nowadays, organizations need sophisticated GISbased Decision Support System (DSS) to analyze their data with respect to geographic information, represented not only as attribute data, but also in maps. Thus, ven...