This paper describes applications of the optimized pattern discover),framework to text and Webmining. In particular; we introduce a class of simple combinatorialpatterns over phra...
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
For a wide variety of classification algorithms, scalability to large databases can be achieved by observing that most algorithms are driven by a set of sufficient statistics that...
: Data collection of covert networks is an inherently difficult task because of the very nature of these networks. Researchers find it difficult to locate and access data relating ...
Nasrullah Memon, Uffe Kock Wiil, Reda Alhajj, Clau...
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...