Lab Test data mining DSE

What is the primary objective of association rule mining?

• Predicting a target variable based on input features

• Grouping similar data points into clusters

• Identifying frequent patterns or relationships between items in a dataset

• Classifying data points into predefined categories

1. What data type consists of categories with no inherent order?

• Ordinal

• Continuous

• Nominal

• Categorical

1. In data mining, which data type represents measurements that can take any real value within a range?

• Binary

• Continuous

• Categorical

• Discrete

1. What type of data has categories with a specific order or rank?

• Nominal

• Ordinal

• Continuous

• Binary

1. What data type represents measurements where the difference between two values is meaningful but the ratio is not?

• Interval

• Nominal

• Categorical

• Discrete

The data type that represents location-based information on the Earth's surface -

__________ algorithm is used for frequent itemset mining in association rule learning?

The clustering algorithm that partitions data into a predefined number of clusters - ___________

The classification method that relies on the assumption of independence between features - __________

What technique assesses the performance of a model by splitting the data into training and testing subsets multiple times?

• Hold out

• Cross-validation

• Random subsampling

• Stratified subsampling