Embedding knowledge graphs into continuous vector spaces has recently attracted increasing interest in base completion. However, most existing embedding methods, only fact triplets are utilized, and logical rules have not been thoroughly studied for the completion task. To overcome problem, we propose an association enhanced graph attention network (AR-KGAN). In this paper, jointly modeled prop...

Association rules mining is one kind of data mining techniques which finds interesting relationships among attributes in analyzing data. This paper presents an application that discovers the association rules by using data cube structure and applying OLAP operations. It allows to be performed the association analysis of the data in the cube created by using a WEB based client/server system that...