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This paper presents a comparative study of various data mining tools, focusing on their features, functionalities, and suitability for different data types. It highlights the limitations of existing tools in handling real-time data challenges and proposes a unified data mining theory to improve the selection and application of mining algorithms. The study evaluates popular tools like Weka, KNIME, and Tanagra based on their performance with specific datasets, revealing strengths and weaknesses in their accur

Author

shakeel ahmad

Language

EN