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