International Journal on Science and Technology

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A Research Review on Comparative Analysis of Data Mining Tools and Techniques

Author(s) Dr. Paresh Ramnikbhai Rathod
Country India
Abstract In today's world, data mining is essential to both the corporate sector and society at large. Numerous proprietary and open-source tools for data mining and visualization are available to help glean insightful information from enormous data stores. Data mining is a crucial procedure in many domains, such as business, healthcare, education, and scientific research, because it is an effective method for extracting insightful information from large and complicated datasets. In many domains, data mining the process of drawing insightful conclusions from massive datasets has become an essential tool. Researchers and practitioners can successfully use data mining techniques to tackle difficult problems and obtain a competitive edge by being aware of these tools' potential. The Environment for Knowledge Analysis (WEKA), Konstanz Information Miner (KNIME), GhostMiner, R Analytical Tool to Learn Easily (Rattle), and RapidMiner are among the several data mining technologies reviewed in this research, and are provided under the GNU GPL licenses while GhostMiner is commercial. Most of the time, selecting a data mining tool to do research is a barrier for novice researchers. This report also includes an assessment of the sources, qualities, and capabilities.
Keywords Data Mining, RapidMiner, Weka, Knime, GhostMiner, Rattle, Data Exploration, Data Modelling
Field Computer Applications
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-07-18
DOI https://doi.org/10.71097/IJSAT.v16.i3.7067
Short DOI https://doi.org/g9t2w3
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