1. What is the primary purpose of rule-based algorithms in data mining?, A) To reduce dimensionality of data, B) To discover relationships in the form of IF–THEN rules, C) To cluster similar data points, D) To normalize data, 2. In association rule mining, a rule is typically represented as:, A) X → Y, B) X + Y = Z, C) X / Y, D) X – Y, 3. Which of the following measures indicates how often items appear together in a dataset?, A) Confidence, B) Lift, C) Support, D) Accuracy, 4. Which algorithm is commonly used for generating association rules?, A) K-Means, B) Apriori, C) Linear Regression, D) Naïve Bayes, 5. What does the confidence of a rule X → Y measure?, A) The frequency of Y in the dataset, B) The proportion of transactions containing both X and Y, C) The probability that Y occurs given X has occurred, D) The strength of clustering

Rule Based Algorithms

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