Home > Data Science > Quizzes > Data Science - Data Mining Questions
Data Science - Data Mining Questions
Fast practice, instant feedback. Timer auto-submits when time’s up.
Avg score: 0% Most missed: “Semantic hashing”

Data science is a broad field that includes the processes of capturing of data, analyzing, and deriving insights from it. On the other hand, data mining is mainly about finding useful information in a dataset and utilizing that information to uncover hidden patterns.

Data Science - Data Mining Questions
Time left 00:00
25 Questions

1. numerical attributes can either _______ or _______

2. Two vectors a and b are said to be orthogonal

3. Named-entity recognition (NER)

4. scale free property

5. containment

6. precision at k

7. cosine similarity

8. Language model for information retrieval

9. Biclustering

10. Discretization,

11. What is hard clustering?

12. clustering effect in a graph

13. What is the span?

14. discrete values are

15. Thus, the maximum Euclidean distance between any two points for multivariate Bernoulli variables is __ which hap-pens when there are no common symbols between them, i.e., when s = 0.

16. small world property

17. What is the goal of clustering?

18. The centered data matrix is obtained by ______________

19. categorical attributes can either _______ or _______

20. categorical attribute ______

21. itemsets

22. equivalence

23. The number of mismatches values for multivariate Bernoulli variables

24. How do your estimate confidence of an association rule?

25. The Jaccard Coefficient is a commonly used similarity measure between two categorical points. It is defined as the ratio of the number of ________ to the number of _______ that appear in both xi and xj, across the d attributes