11. The classification or mapping of a class using a predefined class or group is called:
- Data Set
- Data Sub Structure
- Data Discrimination
- Data Characterisation
Answer : C Explanation: The classification or mapping of a class using a predefined class or group is called Data Discrimination.
12. Which of the following process is not involved in the data mining process?
- Knowledge extraction
- Data transformation
- Data exploration
- Data archaeology
Answer : B Explanation: Data transformation is not involved in the data mining process. So option B is correct.
13. What is the analysis conducted for uncovering some interesting statistical correlations between various associated-attribute-value pairs called?
- Mining of Correlations
- Mining of Association
- Mining of Clusters
- None of the above
Answer : B Explanation: The analysis conducted for uncovering some interesting statistical correlations between various associated-attribute-value pairs is called Mining of Correlations.
14. Classification is
- A subdivision of a set of examples into a number of classes
- The task of assigning a classification to a set of examples
- A measure of the accuracy, of the classification of a concept that is given by a certain theory
- None of the above
Answer : A Explanation: Classification is a subdivision of a set of examples into a number of classes.
15. Data cleaning is
- The systematic description of the syntactic structure of a specific database. It describes the structure of the attributes the tables and foreign key relationships
- The removal of noise errors and incorrect input from a database
- Large collection of data mostly stored in a computer system
- None of the above
Answer : B Explanation: Data cleaning is the removal of noise errors and incorrect input from a database.
Data Warehousing MCQ Questions And Answers
16. Data mining helps in ____________
- Inventory management
- Sales promotion strategies
- Marketing strategies
- All of the above
Answer : D Explanation: Data mining helps in: Inventory management, Sales promotion strategies, Marketing strategies, etc.
17. Which is the correct option regarding data mining?
- It can be referred to as the mining of knowledge from data
- It can be defined as the process of extracting information from a large collection of data
- The process of data mining involves several other processes like data cleaning, data transformation, and data integration
- All of the above
Answer : D Explanation: data mining is a process of mining of knowledge from data or extracting information from a large collection of data. It also involves several other processes like data cleaning, data transformation, and data integration and hence, option D is correct.
18. Data mining requires
- Large quantities of operational data stored over a period of time
- Large mainframe computers
- Several tape drives to store archival data
- Lots of tactical data
Answer : A Explanation: Data mining requires large quantities of operational data stored over a period of time.
19. Prediction is
- One of several possible enters within a database table that is chosen by the designer as the primary means of accessing the data in the table
- The result of the application of a theory or a rule in a specific case
- Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces
- None of the above
Answer : B Explanation: Prediction is the result of the application of a theory or a rule in a specific case.
20. What is KDD in data mining?
- Knowledge Discovery Data
- Knowledge Discovery Database
- Knowledge Data definition
- Knowledge data house
Answer : B Explanation: The term KDD means Knowledge Discovery Database is refers to a broad process of discovering the knowledge in the data and emphasizes the high-level applications of specific Data Mining techniques as well. So, option B is correct.
