10 UMLClass 20 20 470 60 halign=left Data mining goal: Modelling and visualising interesting attribute relations UMLSpecialState 30 150 20 20 type=initial Relation 40 150 50 30 lt=<- 30.0;10.0;10.0;10.0 UMLState 70 130 230 70 Obtain interesting datasets from the querying project plan UMLSpecialState 840 150 20 20 type=final Relation 290 150 90 30 lt=<- 70.0;10.0;10.0;10.0 UMLState 360 130 150 70 Visualise or model relationship in question using R tidyverse tools UMLSpecialState 560 120 180 80 type=decision Analysis of sufficient quality? Relation 500 150 80 30 lt=<- 60.0;10.0;10.0;10.0 Relation 580 190 90 190 lt=<- [NO] 10.0;170.0;70.0;170.0;70.0;10.0 UMLSpecialState 430 310 160 100 type=decision Data mining goal attainable? Relation 730 140 130 40 lt=<- [YES] 110.0;20.0;10.0;20.0 Relation 130 310 320 140 lt=<- [YES] 10.0;10.0;10.0;120.0;300.0;120.0;300.0;50.0 Relation 320 280 130 100 lt=<- [NO] 10.0;20.0;110.0;20.0;110.0;80.0 UMLState 230 290 100 30 Revise goal UMLSpecialState 120 280 40 40 type=decision Relation 150 290 100 30 lt=<- 10.0;10.0;80.0;10.0 Relation 130 190 30 110 lt=<- 10.0;10.0;10.0;90.0