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Flight Data Processing Based on Parallel Mining Algorithm of Fuzzy Association Rules

  • 2013-09-21
  • 159.84KB
  • Points it Requires : 2

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.

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