adplus-dvertising
frame-decoration

Question

Why might the data mining steps of evaluation and performing data mining be performed iteratively?

a.

To prolong the data mining process

b.

To reduce the intensity of data mining

c.

To adjust the data based on initial evaluations

d.

To minimize the impact of data preprocessing

Answer: (c).To adjust the data based on initial evaluations Explanation:The steps of evaluation and performing data mining may be performed iteratively to adjust the data based on initial evaluations and improve the outcomes of the data mining process.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. Why might the data mining steps of evaluation and performing data mining be performed iteratively?

Similar Questions

Discover Related MCQs

Q. OLAP focuses on:

Q. Data mining is concerned with:

Q. What type of queries does OLAP use?

Q. In OLAP, users need:

Q. Data mining helps users:

Q. What is the primary difference between OLAP and data mining?

Q. How does an analyst work with OLAP?

Q. Data mining is described as:

Q. OLAP and data mining are:

Q. What is a common and powerful method employed in data mining?

Q. What is the focus of outlier analysis in data mining?

Q. What does predictive analytics encompass in data mining?

Q. How do predictive models work in assessing risk or potential associated with a particular set of conditions?

Q. What is the relationship between the enterprise data warehouse and data mining?

Q. Why is a clean and complete data warehouse considered the bedrock for data mining?

Q. What role does parallel processing technology play in the data warehouse environment?

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

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

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

Q. How are data mining processes related to data mining applications?