About the association analysis

This article examines the association analysis.

Hello!

Today, we’re going to look at the association analysis.

Association analysis is one of the data mining techniques that discovers interesting relationships between items in large datasets.

This is used for business decision-making by identifying the relevance of products or deriving rules.

We will discuss the association analysis below.

the main concept

Support

Indicates the frequency of the rule’s overall appearance, and indicates how many specific sets of items occurred during the entire transaction.

Confidence

It represents the probability that A and B will be included simultaneously among the transactions involving A and B, and it represents how strong the relationship between A and B is among the highly supported rules.

Elevation (Lift)

It indicates how often the relationship between A and B occurs relative to coincidence, and a greater than 1 indicates a positive correlation between the two items.

Utilization

Product recommendation system

It is used to identify the associations between products and present recommended products to customers.

Inventory management

It is used to pre-adjust the inventory of another product when sales of one product increase by identifying the relevance of the product.

Algorithms

Apriori algorithm

It is used to generate association rules by navigating a set of frequent items, and generates rules based on support and reliability.

FP-Growth Algorithm

It is used to build a Frequent Pattern Tree (FP-tree) to find frequent patterns and use it to extract frequent item sets.

Precautions

data preprocessing

Pre-processing such as removing noise or outliers is required to improve the quality of data.

Pattern Interpretation

Before applying the association rules found to your business, you must carefully examine their implications and validity.

at the end of the day

Association analysis is a powerful data mining technique that is used in product recommendation, marketing strategy establishment, inventory management, etc. in a variety of fields and provides useful insights for the business by discovering efficient rules.

Thank you!