Generalizing Knowledge in Decentralized Rule-Based Models

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Pedro Strecht (Author) REIT; João Mendes Moreira (Author) FEUP; Carlos Soares (Author) FEUP

Conference proceedings International

Title: ECML PKDD 2018 Workshops - DMLE 2018 and IoTStream 2018, Dublin, Ireland, September 10-14, 2018, Revised Selected Papers

Pages: 29-36

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00Q-9FR

DOI: 10.1007/978-3-030-14880-5_3

Abstract (EN): Knowledge generalization of ruled-based models, such as decision trees or decision rules, have emerged from different backgrounds. This particular kind of models, given their interpretability, offer several possibilities to be combined. Despite each distinct context, common patterns have emerged revealing the systemic nature of the problem. In this paper, we look at the problem of generalizing the knowledge contained in a set of models as a process formalizing the operations that can be addressed in alternative ways. We also include a set-up to evaluate gen-eralized models based on their ability to replace the base ones from a predictive performance perspective, without loss of interpretability.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 8