Abstract
Frequent itemset mining is a critical step in association rule mining and plays an important role in many data mining tasks including strong rules, correlations and sequential rules. Diffset is an efficient frequent itemset mining algorithm which uses vertical database layout. An efficient hybrid algorithm DiffsetHybrid is brought out. The tests indicate that the new algorithm shows good performance with both sparse datasets and dense datasets.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
