24 audi lectronic University College of Computing and Informat For each question

Question

24 audi lectronic University College of Computing and Informat For each question, circle True (T) or False (F) as appropriate. Redundant attributes can be detected by correlation analysis and T F covariance analysis. Data mining is a repository of information, collected from multiple T F sources, stored under a unified schema and usually residing at a single site. The base cuboid is the most generalized of all the cuboids. T F Iceberg cube is a data cube that stores only those cube cells thatT have an aggregate value. If (Egg, Bread) is a frequent itemset, then (Egg, Bread, Coke) can T be also considered as frequent 15 M

Explanation / Answer

1.TRUE

Both correlation and covariance method can analyse the redundant datas

2.False

This is not true as data can reside at multiple platform of a single organisation so mining is done over all the data collectively not from a single site.

3.False

The base cuboid is the least generalized (most specific) of the cuboids. The apex cuboid is the most generalized (least specific) of the cuboids, and is often denoted as all.

4.True

An Iceberg-Cube contains only those cells of the data cube that meet an aggregate condition. It is called an Iceberg-Cube because it contains only some of the cells of the full cube, like the tip of an iceberg. The aggregate condition could be, for example, minimum support or a lower bound on average, min or max.

5.False

Egg and bread is common food item which is consumed globbaly so this both can be considered as frequent data set but coke doesnt fit in this.

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