A theoretical model for pattern discovery in visual analytics

The word ‘pattern’ frequently appears in the visualisation and visual analytics literature, but what do we mean when talk about patterns? We propose a practicable definition of concept pattern data distribution as combination multiple interrelated elements two or more components that can be represented treated unified whole. Our theoretical model describes how patterns are made by relationships existing between elements. Knowing types these relationships, it is possible to predict kinds may exist. demonstrate our underpins refines established fundamental principles visualisation. also suggests range interactive analytical operations support workflows where patterns, once discovered, explicitly involved further analysis.