adplus-dvertising
frame-decoration

Question

What does data preprocessing involve in the context of data mining?

a.

Predicting future data patterns

b.

Removing noisy data and filling missing values

c.

Selecting active variables for analysis

d.

Transforming data for mining algorithms

Answer: (b).Removing noisy data and filling missing values Explanation:Data preprocessing involves tasks such as removing noisy data (out of range) and ensuring there are no missing values, contributing to improved data quality.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What does data preprocessing involve in the context of data mining?

Similar Questions

Discover Related MCQs

Q. Why is it important to state clear business objectives in the initial step of data mining?

Q. What is the significance of selecting active variables in the data mining process?

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

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?