A Comparative Study of Data Mining Software: SPSS, R, and SAS

Data mining is a powerful tool for extracting insights and patterns from large and complex data sets. As data mining software isbecoming more widely used, there is an increasing need for comparative studies to assess the strengths and weaknesses of differentsoftware options. In this paper, we present a comparative study of three popular data mining software packages: SPSS, R, and SAS.We evaluated these packages based on their user-friendliness, performance, scalability, and analytical capabilities. We also comparedthe availability of resources such as tutorials, documentation, and community support for each package. Our results indicate that R isthe most popular and widely used data mining software due to its open-source nature, vast library of packages, and ability to handlelarge datasets. However, SPSS and SAS are also strong contenders in terms of their user-friendliness, scalability, and analyticalcapabilities. Our study can provide guidance for researchers, analysts, and data scientists to make informed decisions about whichdata mining software to use for their specific needs.

کلیدواژه ها:

Data Mining ، Software ، Software Comparison ، SPSS ، R ، SAS