In the multi-relational data mining, concept discovery is the problem of inducing definitions of
a relation in terms of other relations provided. In this paper, we present a method that …

Multi-relational concept discovery aims to find the relational rules that best describe the
target concept. In this paper, we present a graph-based concept discovery method in Multi …

Abstract Concept discovery is a multi-relational data mining task for inducing definitions of a
specific relation in terms of other relations in the data set. Such learning tasks usually have …

Developments in technology, especially in computer science created the need of storing
data in variety of areas. This need created the term database where the data is stored in a …

Abstract Concept discovery is a multi-relational data mining task where the problem is
inducing definitions of a relation in terms of other relations. In this paper, we propose a …

Multi-relational data mining (MRDM) is concerned with discovering hidden patterns from
multiple tables in a relational database. One of the most commonly addressed tasks in …

A large amount of the valuable data in daily life is stored in relational databases. The
accumulation of so much information motivates the need for extracting valuable patterns in …

Multi-relational concept discovery aims to find the relational rules that best describe the
target concept. In this paper, we present a graph-based concept discovery method in Multi …