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Inductive Logic Programming : 30th International Conference, ILP 2021, Virtual Event, October 25–27, 2021, Proceedings

Authors :
Nikos Katzouris
Alexander Artikis
Nikos Katzouris
Alexander Artikis
Publication Year :
2022

Abstract

This book constitutes the refereed conference proceedings of the 30th International Conference on Inductive Logic Programming, ILP 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 16 papers and 3 short papers presented were carefully reviewed and selected from 19 submissions. Inductive Logic Programming (ILP) is a subfield of machine learning, which originally relied on logic programming as a uniform representation language for expressing examples, background knowledge and hypotheses. Due to its strong representation formalism, based on first-order logic, ILP provides an excellent means for multi-relational learning and data mining, and more generally for learning from structured data.

Details

Language :
English
ISBNs :
9783030974534 and 9783030974541
Volume :
13191
Database :
eBook Index
Journal :
Inductive Logic Programming : 30th International Conference, ILP 2021, Virtual Event, October 25–27, 2021, Proceedings
Publication Type :
eBook
Accession number :
3185381