adplus-dvertising
frame-decoration

Question

What are association rules in link analysis?

a.

Decision rules that determine the classification of records

b.

Rules with high support and confidence factor values indicating the strength of the association between items

c.

Rules governing the sequential order of events

d.

Rules for pruning the branches of decision trees

Answer: (b).Rules with high support and confidence factor values indicating the strength of the association between items Explanation:Association rules in link analysis are rules with high support and confidence factor values indicating the strength of the association between items.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What are association rules in link analysis?

Similar Questions

Discover Related MCQs

Q. What is the challenge associated with scaling in associations discovery?

Q. In sequential pattern discovery, what role does the time element play?

Q. What is the basic unit of an artificial neural network?

Q. What is the role of weights in a neural network?

Q. What is the other main structure of the neural network model, apart from nodes?

Q. In genetic algorithms, what does the process of selection, cross-over, and mutation aim to achieve?

Q. How does the genetic algorithm evolve successive generations of models?

Q. What is the foundational data source for data mining processes?

Q. Why is having data at the detailed level in the data warehouse important for data mining?

Q. What is the significance of having high-quality data in the data warehouse for data mining projects?

Q. What is the importance of having actionable patterns and relationships in data mining projects?

Q. What is the purpose of the model structure in the framework for comparing data mining techniques?

Q. What are the most available techniques supported by vendor tools in the market today?

Q. What is a crucial consideration when selecting data mining tools regarding integration with the data warehouse environment?

Q. Why is it important for a data mining tool to be able to explain the rules and how patterns were discovered?

Q. What is a crucial consideration for data access in evaluating data mining tools?

Q. What is an essential aspect of data selection in data mining tools?

Q. Why is sensitivity to data quality important in a data mining tool?

Q. Why is data visualization considered crucial in data mining tools?

Q. What does extensibility in tool architecture refer to?