Comparative Analysis of Data Mining (DM) Platforms Research Paper (Research Paper Sample)

Comparative Analysis of Data Mining (DM) Platforms: SAS Enterprise Miner vs. Python in reference to Decision Tree (DT) induction technique.
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Abstract: This paper serves to present a comparative analysis of decision tree data mining techniques using the various software platform. Only two platforms, the SAS Enterprise miner and Python, are used for study from various existing data mining platforms. Data mining is offers exemplary analytics avenue from which various companies can drive future insight. As such, understanding of appropriate software would provide accurate data sourcing to reduce forecasting errors.[This word is constantly used as opposed to software since python is a programing language while SAS Enterprise miner is a complete proprietary software application written in C programming languages. As such, use of platform will equal magnitude level for comparative study and analysis.]
A side to side evaluation of each software was made using four leading proponents; Functionality, Ancillary Tasks, Support Performance, and Usability are performed on both SAS Enterprise and Python before summing up to comparative analysis to provide needed classification and performance based on above parameters. Owing to various discrepancies realized by the two software in relation to tools of comparison, there is no generalization win of any software since both portrays difference performance which varies from one aspect to another. However, the python was found to exhibit better usability than SAS, then only criteria where two differed sharply. SAS exhibit better computation performance which is attributed by controlled development and vast algorithm use to enhance the accuracy
Index Terms—Data mining, Decision tree, Python, SAS Enterprise Miner, Induction techniques