Abstract
Discovery of association rules has been found useful in many applications. With large database, the process of mining association rules is time consuming. The efficiency becomes crucial factor. Weighted association is more meaningful in some application. This paper implements a fast and stable algorithm to mining weighted association rules base on the open source library Lucene. The methods to create index in Lucene and utilization of the index to find weighted frequent itemsets are introduced. Based on apriori algorithm, a weighted association rule mining algorithm is implemented. All the rules can be recommended to customer by searching Lucene Index. Experiment shows that this method is more efficient than general apriori algorithm.
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.
