DBMS-Data Warehousing and Data Mining
DBMS-Data Warehousing and Data Mining
11. OLAP is a database interface tool that allows users to quickly navigate within their data.
- TRUE
- FALSE
12. Data mining is the process of extracting valid, previously unknown, cmprehensible and actionable information from large database and using it to make crucial business decisions
- TRUE
- FALSE
13. The goal off data miningg is to create models for decision-making that predict future behaviouur based on analyses of past activity.
- TRUE
- FALSE
14. Data mining predicts the future behaviour of certain attributes within data.
- TRUE
- FALSE
15. In the association rules in data mining, the database is regarded as a collection of transactions, each involving a set of item.
- TRUE
- FALSE
16. In data mining, classifiction is the process of learning a model that describes different classes of data.
- TRUE
- FALSE
17. Which of the following is a characterstic of the data in a data warehouse ?
- Non-volatile.
- Subject-oriented
- Time-variented.
- All of these
18. Data warehouse is a special type of database with a
- Single archive of data
- Consistent archieve of data
- Complete archive of data
- All of these
19. Data warehouses, extract information for strategic use of the organisation in reducing costs and improving revenues, out ot
- Legacy systems
- secondary storage.
- main memory
- None of these
20. The advancements in technology and the develpment of microcomputers (PCs) along with data-orientation in form of relational databases, drove the emergence of end-user computing during
- 1970s and 1980s
- 1980s and 1990s
- 1990s and 2000s
- the start of the 21st century.