ML-Association

In unsupervised machine learning, what is the primary goal of association analysis?

• To predict the target variable of a dataset

• To classify data into predefined categories

• To discover interesting relationships between variables in a transactional database

• To perform dimensionality reduction on the dataset

Association analysis is commonly used in which type of data?

• Numerical data

• Categorical data

• Text data

• Image data

What does the term "support" represent in association analysis?

• The probability of a transaction occurring in the dataset

• The ratio of the number of transactions containing the item to the total number of transactions

• The strength of the relationship between two variables

• The accuracy of the association model

In association analysis, the "confidence" of an association rule refers to:

• The probability of a transaction containing both antecedent and consequent items

• The number of transactions that contain only the consequent item

• The strength of the relationship between two items

• The ratio of the number of transactions containing both antecedent and consequent items to the number of transactions containing the antecedent item

Which of the following is a common algorithm used for association analysis?

• K-Means

• Decision Trees

• Apriori

• Linear Regression

What does the Apriori algorithm use to generate frequent itemsets efficiently?

• Heuristic search techniques

• Gradient descent optimization

• Breadth-first search approach

• Depth-first search approach

In association analysis, what is the purpose of setting a minimum support threshold?

• To specify the number of transactions in the dataset

• To filter out infrequent itemsets from the analysis

• To measure the strength of association rules

• To limit the number of iterations in the Apriori algorithm

What does a high lift value indicate for an association rule?

• A strong relationship between the antecedent and consequent items

• A weak relationship between the antecedent and consequent items

• A higher support value for the antecedent item compared to the consequent item

• The presence of a third variable influencing the relationship between the items

Association analysis is often used for which type of real-world application?

• Image recognition

• Anomaly detection in credit card transactions

• Speech recognition

• Market basket analysis in retail

What is the purpose of generating association rules in association analysis?

• To predict the occurrence of a target variable

• To identify the minimum number of transactions in a dataset

• To discover interesting patterns and relationships between items

• To cluster similar data points together