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

Posted under Data Warehousing and OLAP

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?

Add Comment

Similar Questions

Discover Related MCQs

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

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

View solution

View All MCQs on Data Warehousing and OLAP

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!

Cyber Security

Understand the fundamentals of safeguarding digital assets with our Cyber Security...

DBMS

Get a firm grasp on database systems with our DBMS MCQs. Explore relational...

Systems Analysis and Design Methods

Get familiar with the process of designing and improving business systems with our...

HTML

Start your journey in web development with our HTML MCQs. Learn the building blocks...

Web Technologies

Master the building blocks of the web with our Web Technologies MCQs. From HTML and...

Software Engineering

Learn about the systematic approach to developing software with our Software...

Computer Hardware

Explore the tangible components of computers with our Computer Hardware MCQs. Learn...

Microprocessor

Understand the heart of your computer with our Microprocessor MCQs. Topics include...

Data Science

Discover the fascinating world of extracting insights from data with our Data Science...