INDED: A distributed knowledge-based learning system

Jennifer Seitzer; James P. Buckley; Yi Pan

doi:10.1109/5254.889105

INDED: A distributed knowledge-based learning system

Jennifer Seitzer
, James P. Buckley
, Yi Pan

University of Dayton
Department of Computer Science
ACM
High- Performance Intelligent Knowledge-Based Systems Research Group
Georgia State University
IEEE

Research output: Contribution to journal › Article › peer-review

Abstract

The authors' INDED system performs rule discovery using the techniques of inductive logic programming, and accumulates and handles knowledge using a deductive nonmonotonic reasoning engine. To save time and space, the authors run INDED in parallel on a Beowulf cluster.

Original language	English
Pages (from-to)	38-40
Number of pages	3
Journal	IEEE Intelligent Systems and Their Applications
Volume	15
Issue number	5
DOIs	https://doi.org/10.1109/5254.889105
Publication status	Published - Sep 2000
Externally published	Yes

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title = "INDED: A distributed knowledge-based learning system",

abstract = "The authors' INDED system performs rule discovery using the techniques of inductive logic programming, and accumulates and handles knowledge using a deductive nonmonotonic reasoning engine. To save time and space, the authors run INDED in parallel on a Beowulf cluster.",

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JF - IEEE Intelligent Systems and Their Applications

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INDED: A distributed knowledge-based learning system

Abstract

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