DATA MINING

What is the main objective of data mining?

• Eliminate irrelevant data

• Extract useful patterns from large volumes of data

• Simplify the structure of the database

• Improve the speed of data processing

In the CRISP-DM process, which phase is responsible for the cleaning and transformation of the data?

• Modeling

• Evaluation

• Data Preparation

• Business Understanding

What type of data refers to those stored in tables organized with rows and columns?

• Sequential data

• Distributed data

• Unstructured data

• Structured data

Which of the following is a technique used to handle outliers?

• Normalization of data

• Binning

• Dimensionality reduction

• Value encoding

In a regression analysis, the coefficient "m" in the equation of a straight line (y = mx + b) represents:

• a) The y-intercept

• The slope of the line

• The adjustment constant

• The value of the dependent variable

Which of the following is a common challenge in data mining?

• Data Integration

• Data Visualization

• Data Representation

• Data Deployment

What type of data requires advanced techniques such as image processing?

• Structured data

• Distributed data

• Unstructured data

• Sequential data

What metric is most suitable for measuring the performance of a linear regression model?

• Accuracy

• Recall

• MSE

• F1 Score

What is the final step in the KDD process?

• Data Mining

• Interpretation and Evaluation

• Preprocessing

• Data Selection

The stage of the CRISP-DM model where the structure and quality of the data are explored is called...