Match the following : Codes :List - I List - II a. Classification i. Principal component analysis b. Clustering ii. Branch and Bound c. Feature Extraction iii. K-nearest neighbour d. Feature Selection iv. K-means
| a | b | c | d |
| iii | iv | i | ii |
K-nearest neighbour assigns a label using known neighbours, so it is a classification method (a-iii), while K-means groups unlabelled data into clusters (b-iv).
Principal component analysis builds new features as combinations of old ones, which is feature extraction (c-i).
Branch and bound searches subsets of existing features optimally, which is feature selection (d-ii).
Hence, a-iii, b-iv, c-i, d-ii.
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A. Data transformation is involved in Datamining process.
B. Online database is used in Data warehouse.
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E. Pattern evaluation is a process to identify knowledge based on interestingness measure.
Choose the correct answer from the options given below: An enormous collection of data on various topics from a variety of internal and external sources, compiled by a firm for its own use or for use by its clients, is called :
Given below are two statements: one is labelled as Assertion A and the other is labelled as Reason R
Assertion A: OLAP systems are optimized for complex queries and analysis.
Reason R: OLTP systems are designed for transactions processing with large read-only queries.
In the light of the above statements, choose the most appropriate answer from the options given below
- Consider the following two statements :
(A) Business intelligence and Data warehousing is used for forecasting and Data mining.
(B) Business intelligence and Data warehousing is used for analysis of large volumes of sales data.
Which one of the following options is correct ? - Consider the following two statements :
(A) Data scrubling is a process to upgrade the quality of data, before it is moved into Data warehouse.
(B) Data scrubling is a process of rejecting data from data warehouse to create indexes.
Which one of the following options is correct ?
