@inproceedings{7fda3acc4a5648a6b0e23c50f6d11cdf,
title = "The parallelization of a knowledge discovery system with hypergraph representation",
abstract = "Knowledge discovery is a time-consuming and space intensive endeavor. By distributing such an endeavor, we can diminish both time and space. System INDED(pronounced \indeed{"}) is an inductive implementation that performs rule discovery using the techniques of inductive logic programming and accumulates and handles knowledge using a deductive nonmonotonic reasoning engine. We present four schemes of transforming this large serial inductive logic programming (ILP) knowledge-based discovery system into a distributed ILP discovery system running on a Beowulf cluster. We also present our data partitioning algorithm based on locality used to accomplish the data decomposition used in the scenarios. ?",
author = "Jennifer Seitzer and Buckley, {James P.} and Yi Pan and Adams, {Lee A.}",
year = "2000",
doi = "10.1007/3-540-45591-4_49",
language = "English",
isbn = "354067442X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "374--381",
editor = "Jose Rolim",
booktitle = "Parallel and Distributed Processing - 15 IPDPS 2000 Workshops, Proceedings",
note = "15 Workshops Held in Conjunction with the IEEE International Parallel and Distributed Processing Symposium, IPDPS 2000 ; Conference date: 01-05-2000 Through 05-05-2000",
}