KDD (Knowledge Discovery in Databases) is referred to
| A. | Non-trivial extraction of implicit previously unknown and potentially useful information from data |
| B. | Set of columns in a database table that can be used to identify each record within this table uniquely. |
| C. | collection of interesting and useful patterns in a database |
| D. | none of these |
|
Option: A Explanation : Click on Discuss to view users comments. |
Learning is
| A. | The process of finding the right formal representation of a certain body of knowledge in order to represent it in a knowledge-based system |
| B. | It automatically maps an external signal space into a system's internal representational space. They are useful in the performance of classification tasks. |
| C. | A process where an individual learns how to carry out a certain task when making a transition from a situation in which the task cannot be carried out to a situation in which the same task under the same circumstances can be carried out. |
| D. | None of these |
|
Option: C Explanation : Click on Discuss to view users comments. |
Naive prediction is
| A. | A class of learning algorithms that try to derive a Prolog program from examples |
| B. | A table with n independent attributes can be seen as an n- dimensional space. |
| C. | A prediction made using an extremely simple method, such as always predicting the same output. |
| D. | None of these |
|
Option: C Explanation : Click on Discuss to view users comments. |
Learning algorithm referrers to
| A. | An algorithm that can learn |
| B. | A sub-discipline of computer science that deals with the design and implementation of learning algorithms |
| C. | A machine-learning approach that abstracts from the actual strategy of an individual algorithm and can therefore be applied to any other form of machine learning. |
| D. | None of these |
|
Option: A Explanation : Click on Discuss to view users comments. |
Knowledge is referred to
| A. | Non-trivial extraction of implicit previously unknown and potentially useful information from data |
| B. | Set of columns in a database table that can be used to identify each record within this table uniquely |
| C. | collection of interesting and useful patterns in a database |
| D. | none of these |
|
Option: C Explanation : Click on Discuss to view users comments. |
