This project enables users to upload sequential transaction datasets and automatically discover frequent patterns using the PrefixSpan algorithm. Results are presented through beautiful, interactive ...

Abstract: There has been a change in people's shopping behavior, especially during the Covid-19 pandemic, from what traditionally requires direct face-to-face meetings between sellers and buyers, to ...

Abstract: Sequential pattern mining is an important research direction in data mining, which is derived from frequent itemset mining. This paper first reviews the relevant knowledge of frequent ...

Imagine a user, Mia, who is scrolling through a social media app like TikTok. She watches several short videos, likes a few, shares one with a friend, and then suddenly exits the app without any clear ...

As AI workloads become increasingly complex, single, monolithic agents often struggle to handle the load. The solution? Multi-agent systems. These architectures allow for specialization, scalability, ...