Abstract
The summarisation of large quantities of linear, tabular and multidimensional data to a more manageable quantity has found application in a number of areas including mobile databases, data warehouses, executive reporting and summary (commonly main memory) databases. The method of summarisation used has a significant bearing on the manner in which the resultant data can be employed and the way in which the information content can be subsequently interpreted. This paper surveys various summarisation procedures and provides a categorisation of the mechanisms by which information can be summarised and the nature and conditions underwhich valid interpretation of the summarised data can be made.
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© 1999 Springer-Verlag Berlin Heidelberg
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Roddick, J.F., Mohania, M.K., Madria, S.K. (1999). Methods and Interpretation of Database Summarisation. In: Bench-Capon, T.J., Soda, G., Tjoa, A.M. (eds) Database and Expert Systems Applications. DEXA 1999. Lecture Notes in Computer Science, vol 1677. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48309-8_56
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DOI: https://doi.org/10.1007/3-540-48309-8_56
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