Classifying Evolving Data Streams Using Dynamic Streaming Random Forests
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
An incremental extremely random forest classifier for online learning and tracking
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Leveraging bagging for evolving data streams
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Random ensemble decision trees for learning concept-drifting data streams
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I
Information Sciences: an International Journal
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The problem of data integration (query decomposition, data fragmentation) has been widely studied in literature, but the inherent hierarchical nature of XML data presents problems that are specific to this data model. Each many-to-many conceptual relationship ...