Software Programming : Data Warehousing Mining QUESTIONS AND ANSWERS :: part2 : 1 to 5
Following Software Programming language Entrance Multiple choice objective type questions and answers will help you in Software Programming 2024 examinations :
1.Multiple Regression means |
| Data are modeled using a straight line |
| Data are modeled using a curve line |
| Extension of linear regression involving only one predicator value |
| Extension of linear regression involving more than one predicator value |
| All (opt1), (opt2), (opt3) and (opt4) above. |
2.Which of following form the set of data created to support a specific short lived business situation? |
| Personal data marts |
| Application models |
| Downstream systems |
| Disposable data marts |
| Data mining models. |
3.Concept description is the basic form of the #17. Concept description is the basic form of the |
| Predictive data mining |
| Descriptive data mining |
| Data warehouse |
| Relational data base |
| Proactive data mining. |
4.Which of the following should not be considered for each dimension attribute? |
| Attribute name |
| Rapid changing dimension policy |
| Attribute definition |
| Sample data |
| Cardinality. |
5.The apriori property means |
| If a set cannot pass a test, all of its supersets will fail the same test as well |
| To improve the efficiency the level-wise generation of frequent item sets |
| If a set can pass a test, all of its supersets will fail the same test as well |
| To decrease the efficiency the level-wise generation of frequent item sets |
| All (opt1), (opt2), (opt3) and (opt4) above. |
More Data Warehousing Mining QUESTIONS AND ANSWERS available in next pages
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