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Decision Tree Induction in High Dimensional, Hierarchically Distributed Databases
[chapter]
2005
Proceedings of the 2005 SIAM International Conference on Data Mining
Classification based on decision trees is one of the important problems in data mining and has applications in many fields. In recent years, database systems have become highly distributed, and distributed system paradigms such as federated and peer-to-peer databases are being adopted. In this paper, we consider the problem of inducing decision trees in a large distributed network of high dimensional databases. Our work is motivated by the existence of distributed databases in healthcare and in
doi:10.1137/1.9781611972757.42
dblp:conf/sdm/Bar-OrWSK05
fatcat:ikywn5uv7nhfdjw76qv5fidqgu