APPLICABILITY OF DECISION TREE TECHNIQUE FOR DECISION SUPPORT TO ANALYZE STUDENTS PERFORMANCE THROUGH ORANGE AND RAPIDMINER TOOLS OF DATA MINING

Abstract

The world’s dynamics demand a magicalsway to wrestle all the unfavorablecircumstancesrapidly and
develop a superbblueprintforcompetitive gain. This mandates an interactive tool to lookoutthe consequences of change in
different input variables on the outcomes without causing the real effects just like computer games. Though magic and
fairy tales are not real, however, the world is equipped with powerful tools to serve in almost every problem
efficiently.Data mining is that resourceful developmentintegrating many techniques to extract, summarize, analyze
&report data and moreprediction of unknown values through applicability of artificial intelligence, expertizeas well as
availability of open source mining tools, for example; Orange, RapidMiner and SAS etc. The present paper aims
atelaborating significance of decision support system in assessments by electing different inputs &criterion and selecting
the best alternate based on givenmeasuresto support decision maker. Further paper highlights the importance of decision
tree technique of data mining to represent the pictorial flow of information interactively and systematically.