Node is
| A. | A component of a network |
| B. | In the context of KDD and data mining, this refers to random errors in a database table. |
| C. | One of the defining aspects of a data warehouse |
| D. | None of these |
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Option: A Explanation : Click on Discuss to view users comments. |
Machine learning is
| A. | An algorithm that can learn |
| B. | A sub-discipline of computer science that deals with the design and implementation of learning algorithms |
| C. | An 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 |
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Option: B Explanation : Click on Discuss to view users comments. |
Projection pursuit is
| A. | The result of the application of a theory or a rule in a specific case |
| B. | 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. |
| C. | Discipline in statistics that studies ways to find the most interesting projections of multi-dimensional spaces |
| D. | None of these |
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Option: C Explanation : Click on Discuss to view users comments. |
Inductive logic programming 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 |
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Option: A Explanation : Click on Discuss to view users comments. |
Statistical significance is
| A. | The science of collecting, organizing, and applying numerical facts |
| B. | Measure of the probability that a certain hypothesis is incorrect given certain observations. |
| C. | One of the defining aspects of a data warehouse, which is specially built around all the existing applications of the operational data |
| D. | None of these |
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Option: B Explanation : Click on Discuss to view users comments. |
