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

Q. How does data mining differ from traditional analysis in terms of data usage from the data warehouse?

View solution

Q. What compromise approach is suggested for the level of granularity in the data warehouse for data mining engagements?

View solution

Q. What is the relationship between data mining algorithms and data mining techniques?

View solution