When and where the next large earthquake will strike remains one of the most difficult questions in geoscience. Researchers ...

Traditional Chinese Medicine offers a holistic approach that could provide complementary benefits for bipolar disorder treatment. However, the clinical cases in Traditional Chinese Medicine are highly ...

Abstract: The consumer behaviour in e-commerce is the main focus of this research and data has been collected using Apriori Algorithm association rule mining method followed by the use of sequence ...

What Is Apriori Algorithm In Data Mining: Have you ever wondered how e-commerce sites like Amazon recommend products or how supermarkets decide which items to place together? This magic happens ...

The FP-Growth (Frequent Pattern Growth) algorithm is a breakthrough in association rule mining, offering a faster and more memory-efficient alternative to the Apriori algorithm. By eliminating the ...

With the proliferation of information technologies, institutions of higher education have increasingly adopted the sports data information management system. A college sports data information ...

To reveal complex causes of aircraft events, this paper aims to mine association rules between the trigger probability and relative strength via a modified Apriori algorithm. Clustering is adopted for ...

While \(K\)-means clustering is used primarily for numerical measures, we often have data where the variables are categorical. A common database type that we haven’t yet met comes in the form of a ...