Nijssen, Siegfried
[UCL]
Kok, Joost
[Universiteit Leiden]
(eng)
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.
Bibliographic reference |
Nijssen, Siegfried ; Kok, Joost. Efficient frequent query discovery in FARMER.The 7th European Conference on Principles and Practice of Knowledge Discovery in Databases (Cavtat, Croatia). In: Knowledge Discovery in Databases: PKDD 2003, 2003, p. 350-362 |
Permanent URL |
http://hdl.handle.net/2078.1/186563 |