Knowledge discovery systems are constrained by three main limited resources: time, memory and sample size. Sample size is traditionally the dominant limitation, but in many present...
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
In this paper techniques from multidimensional scaling and graph drawing are coupled to provide an overview-and-detail style method for visualising a high dimensional dataset whos...
In spatiotemporal applications, meaningful changes vary according to object type, level of detail, and nature of application. In this paper, we introduce a dynamic classification ...
Giorgos Mountrakis, Peggy Agouris, Anthony Stefani...
Background: The increasing availability of time-series expression data opens up new possibilities to study functional linkages of genes. Present methods used to infer functional l...