The last section Categorization of Data Mining Software into Different Types proposes a categorization of data mining software and introduces typical software tools for the different types. This paper is organized as follows: the first section Historical Development and State-of-the-Art highlights the historical development of data mining software until present the criteria to compare data mining software are explained in the second section Criteria for Comparing Data Mining Software. The typical characteristics of these types are explained and a selection of the most important tools is categorized. These criteria are then used to classify data mining tools into nine different types. Furthermore, we propose criteria for the tool categorization based on different user groups, data structures, data mining tasks and methods, visualization and interaction styles, import and export options for data and models, platforms, and license policies. This paper attempts to support the decision-making process by discussing the historical development and presenting a range of existing state-of-the-art data mining and related tools.

As the number of available tools continues to grow, the choice of the most suitable tool becomes increasingly difficult. The development and application of data mining algorithms requires the use of powerful software tools.

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