Titlebook: Data Warehousing and Knowledge Discovery; 13th International C Alfredo Cuzzocrea,Umeshwar Dayal Conference proceedings 2011 Springer-Verlag

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OLAP Formulations for Supporting Complex Spatial Objects in Data Warehousesd other domains. Data warehouses help in modeling and mining large amounts of data from heterogeneous sources over an extended period of time. However incorporating spatial data into data warehouses leads to several challenges in data modeling, management and the mining of spatial information. New m

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Multidimensional Database Design from Document-Centric XML Documentshese documents are loosely structured XML documents mainly composed of text. This paper details conceptual design steps of multidimensional databases from such documents. With the use of an adapted multidimensional conceptual model, the design process allows the integration of data extracted from te

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: Requirement-Driven Generation of ETL and Multidimensional Conceptual Designsan appropriate conceptual, multidimensional design. Typically, this task is performed manually, through a series of interviews involving two different parties: the business analysts and technical designers. Producing an appropriate conceptual design is an error-prone task that undergoes several roun

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Complementing Data in the ETL Process, known as ETL (Extraction, Transformation, and Load), usually takes care of improving the data quality. However, it is not unusual to identify null values in a DW fact table during the ETL process, and this may impact negatively on the accuracy of data analyses results. Data imputation1 techniques

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