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Data Mining Techniques Flashcards
CompTIA Data+ DA0-001 (V1) Flashcards
| Front | Back |
| What is association rule mining? | A technique to uncover interesting relationships and frequent itemsets among variables in a dataset |
| What is classification in data mining? | A technique that assigns data points to predefined categories based on extracted features |
| What is clustering in data mining? | A method that groups similar data points together without using predefined labels |
| What is cross-validation in data mining? | A technique that splits data into subsets to test model performance and ensure it generalizes well to unseen data |
| What is data mining? | The process of discovering patterns, correlations and useful insights in large datasets using various algorithms |
| What is dimensionality reduction? | A process that reduces the number of input variables to simplify models and counter the curse of dimensionality |
| What is feature selection? | The process of identifying and choosing the most relevant variables for building an effective predictive model |
| What is overfitting in data mining? | A scenario where a model captures noise along with the underlying pattern, resulting in poor performance on new data |
| What is regression analysis in data mining? | A method used to predict continuous outcomes by modeling relationships between dependent and independent variables |
| What is the difference between supervised and unsupervised learning? | Supervised learning uses labeled data to train models while unsupervised learning identifies patterns in unlabeled data |
Explore various data mining methodologies, including classification, clustering, association, and regression techniques used to extract patterns and insights from large datasets.