Relational Data Exploration by Relational Concept Analysis

What can FCA do for Artificial Intelligence?

Xavier Dolques1 ; Marianne Huchard2 ; Florence Le Ber3 ; Clémentine Nebut2

Others  :  http://ceur-ws.org/Vol-939/paper6.pdf
PID  :  27002

来源: CEUR

【 摘 要 】

Relational Concept Analysis [4] is an extension to FCA considering several contexts with relations between them. Often used to extend the knowledge that can be learned with FCA, RCA also meets the issue of combinatorial explosion. The initial specification of RCA implies a monotonic growth of the number of concepts and an exhaustiveness of all the concepts that can be obtained when a fixed point is reached. In this position paper we propose a different specification of RCA that permits an interactive exploration of the data by letting the choice of the user for each step. This change will permit to handle richer relational data in a more flexible way by restraining the relations explored at each step hence reducing the number of created concepts.