QoS: Quality Driven Data Abstraction Generation For Large Databases
Charudatta V. Wad, Elke Angelika Rundensteiner, Matthew O. Ward · Quality in Databases · 2007
Data abstraction is the process of reducing a large dataset i nto one of moderate size, while maintaining dominant characteristics of the original dataset. Data abstraction quality refers to th e degree to which the abstraction represents the original data. The quality of an abstraction directly affects the confidence an anal yst can have in results derived from such abstracted views about the actual data. Some initial measures to quantify the quality of abstr action have been proposed; however, they currently can only be utilized as an after-thought. An analyst can be made aware of the quality of the data he works with, but he cannot control the quality he desires and the trade-off between the time required to generate the