Description
This eBook introduces the principles of data mining using Weka, one of the most widely used open-source machine learning platforms. Readers will learn data preprocessing, classification, clustering, association rule mining, regression, feature selection, model evaluation, visualization, and predictive analytics. Practical examples demonstrate how Weka supports data-driven decision-making across healthcare, education, finance, business, and scientific research. Suitable for students, researchers, educators, and professionals interested in data mining and machine learning applications.







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