Current database technology involves processing a large volume of data in order to discover new knowledge. However, knowledge discovery on just the most detailed and recent data does not reveal the long-term trends. A data warehouse is an ideal environment for knowledge discovery since it contains the cleaned, integrated, detailed (most recent operational), summarized, historical, and meta data. A key issue in any discovery system is to ensure the consistency, accuracy, and completeness of the discovered knowledge. We discuss the benefits and issues in knowledge discovery in data warehouse.
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