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The Agent-based Rough Set Data Mining Tool
tm289839954
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The novelty of ROUGHAGENT compared to previous agent-based rough set technique, is that it is employed within default rules generation framework (DRGF). It improves the existing Emergent-based Approach where the running time has been reduced thus maintaining the number of rules and classification accuracy. ROUGHAGENT controls the number iteration to avoid the unnecessary mining path but reserves the generation of simpler and shorter rules. ROUGHAGENT improves the mining speed and maintains the quality of knowledge.

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Dept of Science and System Management, Faculty of Information Science and Technology,
43600 Bangi
Selangor
Malaysia

Full Name [1]
Assoc Prof.Dr.Azuraliza Abu Bakar
Email [1]
aab@ftsm.ukm.my