Now showing items 1-3 of 3
Frequent itemset mining of distributed uncertain data under user-defined constraints
(Edizioni Libreria Progetto, 2012)
Many existing distributed data mining algorithms do not allow users to express the patterns to be mined according to their intention via the use of constraints. Consequently, these unconstrained mining algorithms can yield ...
Effectively and efficiently mining frequent patterns from dense graph streams on disk
In this paper, we focus on dense graph streams, which can be generated in various applications ranging from sensor networks to social networks, from bio-informatics to chemical informatics. We also investigate the problem ...
Tightening upper bounds to the expected support for uncertain frequent pattern mining
Due to advances in technology, high volumes of valuable data can be collected and transmitted at high velocity in various scientific and engineering applications. Consequently, efficient data mining algorithms are in demand ...