Which of the following best defines data mining as a knowledge-discovery…
2010
Which of the following best defines data mining as a knowledge-discovery process?
Answer: A. the process of extracting valid, previously unknown, comprehensible and actionable information from large databases and using it to make crucial business decisions. — ConceptData mining is a knowledge-discovery process that applies analytical methods to large data sets to uncover previously unknown, valid, understandable,…
- A.
the process of extracting valid, previously unknown, comprehensible and actionable information from large databases and using it to make crucial business decisions.
- B.
a tool that allows end users direct access to and manipulation of data within a data-warehousing environment without customised programming.
- C.
a tool that helps end users extract useful business information from a large database.
- D.
All three descriptions
Attempted by 13 students.
Show answer & explanation
Correct answer: A
Concept
Data mining is a knowledge-discovery process that applies analytical methods to large data sets to uncover previously unknown, valid, understandable, and useful patterns or information. The discovered knowledge can then support decisions.
Application
The description “the process of extracting valid, previously unknown, comprehensible and actionable information from large databases and using it to make crucial business decisions” identifies data mining as a discovery process and includes both knowledge quality and practical use.
Contrast
The description centred on direct access to and manipulation of warehouse data refers to an OLAP-style or ad hoc analysis tool.
The description centred on extracting business information refers broadly to a business-intelligence or query tool and omits discovery of previously unknown patterns.
The collective statement combines the knowledge-discovery definition with two tool-oriented descriptions, so the three claims are not equivalent definitions.
Cross-check
Oracle describes data mining as searching large data stores for previously unknown patterns and actionable information, while distinguishing it from simple querying and reporting. This independently supports the process-oriented definition.
Result
Therefore, data mining is the process of extracting valid, previously unknown, comprehensible, and actionable information from large databases for decision-making.