Abstract. The upgrade of frequent item set mining to a setup with multiple relations -frequent query mining-poses many efficiency problems. Taking Object Identity as starting point, we present several optimization techniques for frequent query mining algorithms. The resulting algorithm has a better performance than a previous ILP algorithm and competes with more specialized graph mining algorithms in performance.
FARMER REF is also a frequent pattern mining system, it takes object identity as the starting point and introduces several optimizations, and thus it has better performance than WARMER.
Efficient Frequent Query Discovery in FARMER
PKDD
Computer Science