A visual framework to understand similarity queries and explore data in Metric Access Methods
Marcos Rodrigues Vieira, Fabio Jun Takada Chino, Caetano Traina, Agma J. M. Traina · International Journal of Business Intelligence and Data Mining · 2010
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.