Association Analysis in Data Mining

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UnmatchedSatyr
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12 Questions

Association analysis is used to identify the least frequent patterns in a dataset.

False

Itemset association is used to analyze customer behavior on e-commerce websites.

False

In graph-based association analysis, each item is represented as an edge in the graph.

False

The Apriori algorithm is used for sequential association analysis.

False

Graph-based associations are used to identify items that are frequently purchased together.

False

FP-Growth algorithm is slower than the Apriori algorithm.

False

Association analysis can help retailers optimize product placement and promotions.

True

Eclat algorithm is based on the horizontal data format.

False

Sequential association is used to discover relationships between items in a dataset.

False

Graph-based association is used in fraud detection and social network analysis.

True

Association analysis can be used to recommend related products to customers based on their purchase history.

True

The Apriori algorithm scans the dataset only once.

False

This quiz covers the concept of association in data mining, including its application in identifying relationships between items in a dataset and its benefits in understanding consumer behavior.

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