This project uses the FP-Growth algorithm to mine frequent itemsets from an Amazon transaction dataset. The dataset contains attributes like product name, category, price, and shipping details. The ...

TLDR: Parallelizing the FP Growth Algorithm which is used in various data mining applications. This project was developed as a part of our course IT494 Big Data Processing. The traditional FP-Growth ...

Now let’s have a look at FP Growth Algorithm. Frequent Pattern Growth Algorithm. As we have seen in the Apriori algorithm that it was generating the candidates for making the item sets. Here in the FP ...

This paper proposes an innovative solution to forge a resilient Food Recommendation Engine framework that would be able to make prediction as a set of five items as recommendation for each sold item ...

Customizing the eating experience through personalized food recommendations has become crucial in the dynamic restaurant industry. Conventional recommendation systems often struggle to meet individual ...