Data Preprocessing and Association Rules Quiz

What is the primary purpose of data preprocessing in data mining?

• To transform raw data into an understandable format

• To analyze data patterns

• To visualize data

• To store data in databases

Which of the following is NOT a measure of data quality?

• Complexity

• Completeness

• Accuracy

• Timeliness

What technique is used to handle missing values in data?

• Data integration

• Data transformation

• Data cleaning

• Data reduction

Which algorithm is widely used for finding frequent itemsets in a dataset?

• Support Vector Machine

• Decision Tree

• Apriori

• K-Means

What does the term 'support' refer to in association rule mining?

• The strength of the association

• The likelihood of an item being purchased

• The percentage of transactions containing an item

• The total number of items in a dataset

Which of the following is a disadvantage of the Apriori algorithm?

• Flexibility

• Ease of implementation

• High memory usage

• Simplicity

What is the purpose of market basket analysis?

• To identify products that frequently co-occur in transactions

• To analyze customer demographics

• To optimize supply chain logistics

• To evaluate employee performance

Which method is used in FP-Growth algorithm to represent frequent itemsets?

• Hash Table

• K-D Tree

• FP-tree

• Decision Tree

What does normalization in data transformation aim to achieve?

• To integrate multiple data sources

• To reduce data volume

• To scale data within a specified range

• To eliminate duplicates

Which of the following is an example of a positive correlation?

• As temperature increases, ice cream sales decrease

• As price increases, demand decreases

• As study time increases, exam scores increase

• As age increases, physical activity decreases