In view of the inconvenience of data processing caused by low scalability and long response time of sequential fuzzy association rule algorithm when processing massive flight data, this paper adopts fuzzy association parallel mining algorithm, first uses parallel fuzzy c-2 mean algorithm to divide quantitative attributes into several fuzzy sets, and softens the attribute division boundary with the help of fuzzy sets; then uses improved Boolean association rule parallel mining algorithm to discover frequent fuzzy attribute sets. The algorithm is verified by flight database, which proves that the parallel algorithm has good scalability, scale growth and acceleration performance.
You Might Like
Recommended ContentMore
Open source project More
Popular Components
Searched by Users
Just Take a LookMore
Trending Downloads
Trending ArticlesMore