A visual framework to understand similarity queries and explore data in Metric Access Methods

Author: Vieira Marcos R.   Chino Fabio J.T.   Jr. Caetano Traina   Traina Agma J.M.  

Publisher: Inderscience Publishers

ISSN: 1743-8187

Source: International Journal of Business Intelligence and Data Mining, Vol.5, Iss.4, 2010-10, pp. : 370-397

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Abstract

This paper presents the MAMView framework to help users and developers in understanding the data organisation in Metric Access Methods (MAM). Users and developers can explore and share dynamic and interactively 2- or 3-dimensional representations of a MAM. Such representations can be the steps of a similarity query or the insertion of an object, or the data organisation in a MAM. MAMView was developed as a practical tool that has been successfully applied in studying existing MAM, helping novice users to better understand the behaviour and properties of such structures, as well developers to verify and drill-down their new proposed structures.

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