A Counting-Based Heuristic for ILP-Based Concept Discovery Systems

Date

2013-09-13

Author

Mutlu, Alev
Karagöz, Pınar
Kavurucu, Yusuf

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Concept discovery systems are concerned with learning definitions of a specific relation in terms of other relations provided as background knowledge. Although such systems have a history of more than 20 years and successful applications in various domains, they are still vulnerable to scalability and efficiency issues - mainly due to large search spaces they build. In this study we propose a heuristic to select a target instance that will lead to smaller search space without sacrificing the accuracy. The proposed heuristic is based on counting the occurrences of constants in the target relation. To evaluate the heuristic, it is implemented as an extension to the concept discovery system called (CD)-D-2. The experimental results show that the modified version of (CD)-D-2 builds smaller search space and performs better in terms of running time without any decrease in coverage in comparison to the one without extension.

Subject Keywords

Inductive logic programming, Concept discovery, Search space, Counting

URI

https://hdl.handle.net/11511/54738

Collections

Department of Computer Engineering, Conference / Seminar

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Citation Formats

A. Mutlu, P. Karagöz, and Y. Kavurucu, “A Counting-Based Heuristic for ILP-Based Concept Discovery Systems,” 2013, vol. 8073, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54738.