Multi-layer logic—A predicate logic including data structure as knowledge representation language
New Generation Computing
C4.5: programs for machine learning
C4.5: programs for machine learning
Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Data & Knowledge Engineering
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
From data mining to knowledge discovery: an overview
Advances in knowledge discovery and data mining
The process of knowledge discovery in databases
Advances in knowledge discovery and data mining
Advances in Distributed and Parallel Knowledge Discovery
Advances in Distributed and Parallel Knowledge Discovery
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Handling KDD Process Changes by Incremental Replanning
PKDD '98 Proceedings of the Second European Symposium on Principles of Data Mining and Knowledge Discovery
Rough Problem Settings for Inductive Logic Programming
RSFDGrC '99 Proceedings of the 7th International Workshop on New Directions in Rough Sets, Data Mining, and Granular-Soft Computing
An Organized Society of Autonomous Knowledge Discovery Agents
CIA '97 Proceedings of the First International Workshop on Cooperative Information Agents
A Way of Increasing Both Autonomy and Versality of a KDD System
ISMIS '97 Proceedings of the 10th International Symposium on Foundations of Intelligent Systems
Privacy-preserving agent-based distributed data clustering
Web Intelligence and Agent Systems
Agent-based distributed data mining: the KDEC scheme
Intelligent information agents
Multi-agent system for customer relationship management with SVMs tool
International Journal of Intelligent Information and Database Systems
A Novel Meta Learning System and Its Application to Optimization of Computing Agents' Results
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Hi-index | 0.00 |
How to increase both autonomy and versatility of a knowledge discovery system is a core problem and a crucial aspect of KDD (Knowledge Discovery and Data Mining). We have been developing a multi-agent based KDD methodology/system called GLS (Global Learning Scheme) for performing multi-aspect intelligent data analysis as well as multi-level conceptual abstraction and learning. With multi-level and multi-phase process, GLS increases versatility and autonomy. This paper presents our recent development on the GLS methodology/system.