Closed set mining of biological data
John L. Pfaltz, Christopher M. Taylor · 2002
We present a closed set data mining paradigm which is particularly effective for uncovering the kind of deterministic, causal dependencies that characterize much of basic science. While closed sets have been used before in frequent set data mining, we believe this is the first algorithm to incrementally combine closed sets one at a time to actually mine associations.