Discovering the Association Rules in OLAP Data Cube with Daily Downloads of Folklore Materials
Galina T. Bogdanova, Tsvetanka Georgieva‐Trifonova · 2005
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 contains an archival fund with folklore materials.