Original Contribution: Stacked generalization
Neural Networks
Machine Learning
Techniques for Estimating the Computation and Communication Costs of Distributed Data Mining
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
Privacy Preserving Data Mining
CRYPTO '00 Proceedings of the 20th Annual International Cryptology Conference on Advances in Cryptology
Generalization and decision tree induction: efficient classification in data mining
RIDE '97 Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications
On the Privacy Preserving Properties of Random Data Perturbation Techniques
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Communication Efficient Construction of Decision Trees Over Heterogeneously Distributed Data
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
Agent-mining interaction: an emerging area
AIS-ADM'07 Proceedings of the 2nd international conference on Autonomous intelligent systems: agents and data mining
Actionable knowledge discovery and delivery
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
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This paper presents a distributed approach to build decision trees in a lock step manner with each node proposing an attribute on which to split A central mediator chooses the attribute, among the candidates, with the highest information gain The chosen split is then effectively communicated to the other agents to partition their data The distributed decision tree approach is performed on the agent based architecture dealing with distributed databases This paper mainly focuses on the evaluation of the system performance in distributed data mining Even though there are several trials suggesting algorithms of distributed data mining, few efforts have made on the definition of the system performance It is very important to define the performance for the further development of distributed data mining.