Question
a.
Explicit knowledge discovery
b.
Correlation between unrelated items
c.
Discovery of relationships between objects
d.
Random patterns without significance
Posted under Data Warehousing and OLAP
Engage with the Community - Add Your Comment
Confused About the Answer? Ask for Details Here.
Know the Explanation? Add it Here.
Q. What is a key result of data mining in terms of relationships?
Similar Questions
Discover Related MCQs
Q. What does data preprocessing involve in the context of data mining?
View solution
Q. Why is it important to state clear business objectives in the initial step of data mining?
View solution
Q. What is the significance of selecting active variables in the data mining process?
View solution
Q. Why might the data mining steps of evaluation and performing data mining be performed iteratively?
View solution
Q. OLAP focuses on:
View solution
Q. Data mining is concerned with:
View solution
Q. What type of queries does OLAP use?
View solution
Q. In OLAP, users need:
View solution
Q. Data mining helps users:
View solution
Q. What is the primary difference between OLAP and data mining?
View solution
Q. How does an analyst work with OLAP?
View solution
Q. Data mining is described as:
View solution
Q. OLAP and data mining are:
View solution
Q. What is a common and powerful method employed in data mining?
View solution
Q. What is the focus of outlier analysis in data mining?
View solution
Q. What does predictive analytics encompass in data mining?
View solution
Q. How do predictive models work in assessing risk or potential associated with a particular set of conditions?
View solution
Q. What is the relationship between the enterprise data warehouse and data mining?
View solution
Q. Why is a clean and complete data warehouse considered the bedrock for data mining?
View solution
Q. What role does parallel processing technology play in the data warehouse environment?
View solution
Suggested Topics
Are you eager to expand your knowledge beyond Data Warehousing and OLAP? We've curated a selection of related categories that you might find intriguing.
Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!