Improving the time efficiency of ILP-based multi-relational concept discovery with dynamic programming approach

Date

2010-11-12

Author

Mutlu, Alev
Berk, Mehmet Ali
Karagöz, Pınar

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Large amount of relational data is stored in databases. Therefore, working directly on the data stored in database is an important feature for multi-relational concept discovery systems. In addition to concept rule quality, time efficiency is an important performance dimension for concept discovery since dealing with large amount of data is a must. In this work, we present a dynamic programming based approach for improving the time efficiency on an ILP-based concept discovery system, namely CRIS (Concept Rule Induction System), which combines ILP and Apriori and directly works on databases. © 2011 Springer Science+Business Media B.V.

Subject Keywords

Concept Discovery, Dynamic Programming, ILP, MRDM

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651574595&origin=inward
https://hdl.handle.net/11511/107154

DOI

https://doi.org/10.1007/978-90-481-9794-1_69

Conference Name

25th International Symposium on Computer and Information Sciences, ISCIS 2010

Collections

Department of Computer Engineering, Conference / Seminar

Citation Formats

A. Mutlu, M. A. Berk, and P. Karagöz, “Improving the time efficiency of ILP-based multi-relational concept discovery with dynamic programming approach,” London, İngiltere, 2010, vol. 62 LNEE, Accessed: 00, 2023. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=78651574595&origin=inward.