Discover Fuzzy Calendar-based Temporal Association Rules

Research of mining calendar-based temporal association rules is attracting more and more attention because of it's practicability. But in real life,it is impossible for user to describe the time accurately, so fuzzy temporal association rules are more useful. Based on fuzzy calendar algebra and fuzzy operators, it is easy to describe desired temporal requirements. Time intervals may have different weights according to their membership functions. Integrated with the ideas of progression and increment ,this paper presents a algorithm called BFCTAR to mine fuzzy temporal association rules. Theory analysis and experiment results indicate that this algorithm is efficient and feasible.