About this document
Efficient Maximal Weighted Pattern Mining by Gaming NHQ is a document available to read on EtoBox.
The document presents a new algorithm called MWFIM for mining maximal weighted frequent patterns from transactional databases, which improves efficiency by pruning unimportant patterns and reducing the search space. The algorithm maintains the anti-monotone property while outperforming the previous MAFIA algorithm in experimental analyses. The study highlights the importance of weighted frequent pattern mining and its applications in various data mining tasks.
- Author
- Gaming NHQ
- Language
- EN