MALEF: Framework for distributed machine learning and data mining. (21st February 2008)

• Record Type: Journal Article
• Authors: Tozicka, Jan; Rovatsos, Michael; Pechoucek, Michal; Urban, Stepan
• Is Part Of: International journal of intelligent information and database systems. Volume 2:Number 1(2008)
• Page Start: 6
• Page End: 24
• Publication Date: 2008-02-21
• Subjects: multiagent learning frameworks -- distributed machine learning -- architectures -- unsupervised clustering -- market-based approaches -- data mining -- multi-agent systems -- MAS -- agent-based systems; Database management -- Computer programs -- Periodicals; Information retrieval -- Computer programs -- Periodicals; Information storage and retrieval systems -- Computer programs -- Periodicals; Artificial intelligence -- Periodicals; Expert systems (Computer science) -- Periodicals; Intelligent agents (Computer software) -- Periodicals; 006.33
• Languages: English
• ISSNs: 1751-5858

Abstract

Growing importance of distributed data mining techniques has recently attracted attention of researchers in multiagent domain. In this paper we present a novel framework MultiAgent Learning Framework (MALEF) designed for both the agent-based distributed machine learning as well as data mining. Proposed framework is based on: the exchange of meta-level descriptions of individual learning process; online reasoning about learning success and learning progress. This paper illustrates how MALEF framework can be used in practical system in which different learners use different datasets, hypotheses and learning algorithms. We describe our experimental results obtained using this system and review related work on the subject.