This project implements an efficient action rules mining algorithm using a modified FP-Growth approach. The algorithm is designed to discover actionable patterns in classification datasets, ...

This project implements an efficient action rules mining algorithm using a modified FP-Growth approach. The algorithm is designed to discover actionable patterns in classification datasets, ...

The boom of Chinese car sales in Mexico appears to be slowing down, after failing to grow by double digits for the first time in four years, the newspaper El Economista reported Monday. However, the ...

Dropbox’s referral program is one of the most cited examples of successful growth hacking. To encourage user acquisition, Dropbox offered free storage space to both the referrer and the referee. For ...

Baidu's 3Q24 results were in line, but weak advertising due to China's soft macro backdrop and early-stage AI development are concerning. Ongoing investments in AI and autonomous driving could weigh ...

Increasing evidence from neuroscience suggests that in order to understand the principles of information processing in the brain, it is important to study not only the activity of isolated neurons in ...

Abstract: This paper proposes an improved FP-Growth algorithm which modifies the support count to filter high confidence and high lift telecommunication network alarm big data. And to satisfy the big ...

Abstract: FP-growth algorithm recursively generates huge amounts of conditional pattern bases and conditional FP-trees when the dataset is huge. In such a case, both the memory usage and computational ...