Data mining tries to identify patterns, trends, and relationships among data Two commonly used data mining methods are classification and clustering
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- Classification is a supervised learning method where the goal is to assign predefined labels to new data points based on patterns learned from a training dataset. - Clustering is an unsupervised learning method that groups similar data points together based Show more…
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1. TRUE or FALSE; Confidence measures how often items occur together in a shopping cart. 2. Which of the following data mining algorithm would you NOT use for a classification problem? (a) Linear regression (b) Neural network (c) Decision tree (d) All of the above (e) None of the above 3. The data mining technique that uses a supervised algorithm to assign a category or a group to each case is: (a) Classification (b) Association (c) Regression (d) Clustering (e) None of the above 4. Which of the following data mining techniques would you use for analyzing time series data? (a) Clustering (b) Forecasting (c) Classification (d) Association (e) None of the above
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