Data Warehouse systems aim at integrating data from multiple heterogeneous, distributed, autonomous data sources. Due to changing business needs the data warehouse systems are never meant to be static. Changes in the data source structure or business requirements would result in the evolution of data warehouse schema structure. When data warehouse schema evolves the dependent modules such as it...

In this paper, we study the data warehouse modelling used in decision support systems. We provide an objectoriented data warehouse model allowing data warehouse description as a central repository of relevant, complex and temporal data. Our model integrates three concepts such as warehouse object, environment and warehouse class. Each warehouse object is composed of one current state, several p...

We propose a new adaptive spatio-temporal interpolation method that combines either by a step or a line function existing spatial and temporal interpolation methods. We test the new method using climate data obtained from weather stations in Colorado and Nebraska, for the time period from 1993 to 2003. The experimental results show that in mountainous regions our adaptive spatio-temporal method...

Data warehouse is a system which can integrate heterogeneous data sources to support the decision making process. Data warehouse design is a lengthy, time-consuming, and costly process. There has been a high failure in data warehouse development projects. Thus how to design and develop a data warehouse have become important issues for information systems designers and developers. This paper rev...

This paper presents the evaluation of the architecture of healthcare data warehouse specific to cancer diseases. This data warehouse containing relevant cancer medical information and patient data. The data warehouse provides the source for all current and historical health data to help executive manager and doctors to improve the decision making process for cancer patients. The evaluation mode...

Data Warehouse and Data mining are technologies that deliver optimallyvaluable information to ease effective decision making. This survey paper defines architecture of traditional data warehouse and ways in which data warehouse techniques are used to support academic decision making. This paper defines different data warehouse types and techniques used in educational environment to extract, tra...

A data warehouse is an integrated and timevarying collection of data derived from operational data and primarily used in strategic decision making by means of online analytical processing (OLAP) techniques. Although it is generally agreed that warehouse design is a non-trivial problem and that multidimensional data models and star or snowflake schemata are relevant in this context, hardly any m...