The following quiz “Data Mining MCQ Questions And Answers” provide Multiple Choice Questions (MCQs) related to Data Mining. These Data Mining MCQs are also Interviews (campus interview, walk-in interview, company interview), Placement or recruitment, entrance examinations, and competitive examinations oriented. You can practice the below questions to improve your Data Mining skills. You can click on the View Answer button to check the answer. Let’s solve this Data Mining MCQ Questions And Answers Quiz. Data mining, also known as knowledge discovery in data (KDD) is the process of finding anomalies, patterns, and correlations within large data sets involving methods at the intersection of machine learning, statistics, and database systems.

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1. Identify the term used to define the task of inferring a model from labeled training data.

1. Supervised Learning
2. Reinforcement Learning
3. Unsupervised Learning
4. None of the above

2. Which one of the following refers to querying the unstructured textual data?

1. Information retrieval
2. Information access
3. Information manipulation
4. Information update

3. Which of these is correct about data mining?

1. It is a procedure using which one can extract information out of huge sets of data
2. It involves processes like Data Transformation, Data Integration, Data Cleaning
3. It is a procedure in which knowledge is mined from the data
4. All of the above

4. Which of the following is taken into account before diving into the data mining process?

1. Vendor Consideration
2. Compatibility
3. Functionalibility
4. All of the above

5. Data can be stored, retrieved and updated in

1. SMTOP
2. OLTP
3. FTP
4. OLAP

6. ___________ is the goal to focus on summarizing and explaining a specific set of data.

1. Inferential statistics
2. Descriptive statistics
3. Both A and B
4. None of the above

7. ___________ is a subject-oriented, integrated, time-variant, nonvolatile collection
of data in support of management decisions.

1. Data Warehousing
2. Data Mining
3. Web Mining
4. Text Mining

8. What is the purpose of data preprocessing in data mining?

1. To summarize data in a compact form
2. To generate new data from existing data
3. To transform raw data into a suitable format for analysis
4. To visualize data for easier analysis

9. How many categories of functions involved in Data Mining?

1. 2
2. 4
3. 5
4. 3

10. Which of the following can be considered as the correct process of Data Mining?

1. Infrastructure, Exploration, Analysis, Interpretation, Exploitation
2. Exploration, Infrastructure, Interpretation, Analysis, Exploitation
3. Exploration, Infrastructure, Analysis, Interpretation, Exploitation
4. Exploration, Infrastructure, Analysis, Exploitation, Interpretation