Generalized association rules are rules that contain some background knowledge, therefore, giving a more general view of the domain. This knowledge is codified by a taxonomy set ...
Veronica Oliveira de Carvalho, Solange Oliveira Re...
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Machine learning and data mining have become aware that using constraints when learning patterns and rules can be very useful. To this end, a large number of special purpose syste...
In this paper, we study whether the need for efficient XML publishing brings any new requirements for relational query engines, or if sorting query results in the relational engin...
Surajit Chaudhuri, Raghav Kaushik, Jeffrey F. Naug...
Abstract. An overview of the Time Series Knowledge Mining framework to discover knowledge in multivariate time series is given. A hierarchy of temporal patterns, which are not a pr...