A fully distributed framework for cost-sensitive data mining
Tóm tắt
We propose a fully distributed system (as compared to centralized and partially distributed systems) for cost-sensitive data mining. Experimental results have shown that this approach achieves higher accuracy than both the centralized and partially distributed learning methods, however, it incurs much less training time, neither communication nor computation overhead.
Từ khóa
#Data mining #Credit cards #Distributed computing #Machine learning #Switches #Milling machines #Rivers #Computer science #Learning systems #Relational databasesTài liệu tham khảo
10.1137/1.9781611972726.26
chan, 1996, An Extensible Meta-learning Approach for Scalable and Accurate Inductive Learning