Mining from Incomplete Patterns
Adrian Onet · 2009
Often in higher order data mining (HOM) applications we need to use incomplete patterns received from different sources. In this paper, a solution is proposed for mining new patterns from incomplete or corrupted patterns received from the sources. The solution is based on a relation representation for the patterns, this representation may be used both for pattern discovery from incomplete information, and also for higher order data mining from sources with different competences as presented.