Cosine Similarity-Based Pruning for Concept Discovery
In this work we focus on improving the time efficiency of Inductive Logic Programming (ILP)-
based concept discovery systems. Such systems have scalability issues mainly due to the …
based concept discovery systems. Such systems have scalability issues mainly due to the …
Policy-based memoization for ILP-based concept discovery systems
Abstract Inductive Programming Logic (ILP)-based concept discovery systems aim to find
patterns that describe a target relation in terms of other relations provided as background …
patterns that describe a target relation in terms of other relations provided as background …
Improving scalability and efficiency of ILP-based and graph-based concept discovery systems
A Mutlu - 2013 - open.metu.edu.tr
Concept discovery is the problem of finding definitions of target relation in terms or other
relation given as a background knowledge. Inductive Logic Programming (ILP)-based and …
relation given as a background knowledge. Inductive Logic Programming (ILP)-based and …
Utilizing coverage lists as a pruning mechanism for concept discovery
Inductive logic programming (ILP)-based concept discovery systems lack computational
efficiency due to the evaluation of the large search spaces they build. One way to tackle this …
efficiency due to the evaluation of the large search spaces they build. One way to tackle this …