Data and task parallelism in ILP using mapreduce

DOI10.1007/s10994-011-5245-8zbMath1243.68253OpenAlexW1970217364MaRDI QIDQ439026

Tanveer A. Faruquie, Sachindra Joshi, Ashwin Srinivasan

Publication date: 31 July 2012

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-011-5245-8

zbMATH Keywords

parallelismILPmapreducescaling-up

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Logic programming (68N17)

Related Items (3)

An empirical study of on-line models for relational data streams ⋮ Evolutionary feature selection for big data classification: a MapReduce approach ⋮ Parallel attribute reduction algorithms using MapReduce

Uses Software

• MapReduce
• WordNet
• TopLog
• Aleph
• PolyFARM
• GOLEM

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Parallel ILP for distributed-memory architectures
• Top-down induction of first-order logical decision trees
• Efficient noise-tolerant learning from statistical queries
• 10.1162/153244304773936027
• Inductive Logic Programming
• Word Sense Disambiguation Using Inductive Logic Programming
• TopLog: ILP Using a Logic Program Declarative Bias

This page was built for publication: Data and task parallelism in ILP using mapreduce