Association Rules Mining

Association Rules Mining

Association Rules Mining is a technique used in data mining and warehousing to discover interesting relationships, patterns, and associations between different items or attributes in large datasets. This technique is commonly used in market basket analysis, where the goal is to identify the frequent itemsets and rules that reveal how items are commonly purchased together.

The process of Association Rules Mining involves identifying the frequent itemsets and then generating rules based on the support and confidence of the itemsets. Support is the number of transactions containing an itemset, and confidence is the probability of an itemset leading to the purchase of another item.

Once the frequent itemsets and rules are identified, they can be used to make informed business decisions. For example, if a retail store discovers that customers who buy diapers also tend to buy beer, they may strategically place the two items close to each other to increase sales. Similarly, in healthcare, Association Rules Mining can be used to identify co-occurring medical conditions or treatments and develop personalized treatment plans.

Association Rules Mining has several applications in different fields such as market basket analysis, customer segmentation, fraud detection, recommendation systems, and healthcare. It is a powerful tool that helps in identifying hidden patterns and relationships in data, leading to better decision-making and improved outcomes.

Apply for Data Mining and Warehousing Certification Now!!

https://www.vskills.in/certification/certified-data-mining-and-warehousing-professional

Back to Tutorial