APPLICABILITY OF DECISION TREE TECHNIQUE FOR DECISION SUPPORT TO ANALYZE STUDENTS PERFORMANCE THROUGH ORANGE AND RAPIDMINER TOOLS OF DATA MINING
| Author(s) | : | Reena Hooda |
| Institution | : | Assistant Professor, Department of Computer Science & Applications, Indira Gandhi University Meerpur (Rewari), Haryana, India |
| Published In | : | Vol. 5, Issue 3 — March 2018 |
| Page No. | : | 1794-1798 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
The world’s dynamics demand a magicalsway to wrestle all the unfavorablecircumstancesrapidly anddevelop a superbblueprintforcompetitive gain. This mandates an interactive tool to lookoutthe consequences of change indifferent input variables on the outcomes without causing the real effects just like computer games. Though magic andfairy tales are not real, however, the world is equipped with powerful tools to serve in almost every problemefficiently.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 asavailability of open source mining tools, for example; Orange, RapidMiner and SAS etc. The present paper aimsatelaborating significance of decision support system in assessments by electing different inputs &criterion and selectingthe best alternate based on givenmeasuresto support decision maker. Further paper highlights the importance of decisiontree technique of data mining to represent the pictorial flow of information interactively and systematically.
Reena Hooda, “APPLICABILITY OF DECISION TREE TECHNIQUE FOR DECISION SUPPORT TO ANALYZE STUDENTS PERFORMANCE THROUGH ORANGE AND RAPIDMINER TOOLS OF DATA MINING”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 3, pp. 1794-1798, March 2018.
