Abstract
An improved FP-growth algorithm is proposed to improve the management level of modern coal mining industry and to prevent and reduce the occurrence of some potential accidents. In order to reduce the time complexity of the original algorithm and improve the efficiency of constructing and mining FP tree, this algorithm deeply analyzes some hidden trouble data, mining strong association rules among frequent items to limit the hidden risk factors in association rules, in order to effectively avoid the occurrence of some accidents or reduce their losses. The results showed that the improved algorithm is more efficient than the traditional Apriori algorithm and FP-growth algorithm in the construction and mining of FP tree when the database changes, which shows the practicability of the algorithm, and for the coal industry to eliminate hidden danger work to provide better development support.
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.
