Data Mining : UNIT 1

What is the primary goal of data mining?

• Store large datasets

• Visualize graphs

• Extract useful patterns

• Format databases

Which step in the KDD process selects relevant data for analysis?

• Data Integration

• Data Cleaning

• Data Selection

• Pattern Evaluation

The final step in the KDD process is:

• Pattern Discovery

• Knowledge Representation

• Data Transformation

• Data Evaluation

Which of the following is an example of a nominal attribute?

• Height

• Gender

• Temperature

• Weight

Binary attributes have how many possible values?

• 1

• 2

• 3

• Unlimited

Which binary attribute type gives equal importance to both values?

• Ordinal

• Interval

• Asymmetric

• Symmetric

An example of an asymmetric binary attribute is:

• Gender

• Blood group

• Disease (positive/negative)

• Color

Which attribute type has a meaningful order or ranking?

• Nominal

• Binary

• Ordinal

• Interval

Dress size (Small, Medium, Large) is an example of which attribute?

• Ordinal

• Binary

• Nominal

• Ratio-scaled

Which attribute allows both addition and subtraction but not multiplication/division?

• Ordinal

• Ratio-scaled

• Interval-scaled

• Binary