On the Accuracy of Meta-learning for Scalable Data Mining (1996)

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by Philip Chan , Salvatore J. Stolfo
Venue:Journal of Intelligent Information Systems
Citations:57 - 2 self

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44 An Extensible Meta-Learning Approach for Scalable and Accurate Inductive Learning – Philip Kin-Wah Chan - 1996
110 A Comparative Evaluation of Voting and Meta-learning on Partitioned Data – Philip Chan, Salvatore J. Stolfo - 1995
5 Management of Intelligent Learning Agents in Distributed Data Mining Systems – Andreas Leonidas Prodromidis - 1999
4 On the management of distributed learning agents – Andreas L. Prodromidis - 1997
5 Agent-based fraud and intrusion detection in financial information systems – Salvatore J. Stolfo, David W. Fan, Andreas Prodromidis, Wenke Lee, Shelley Tselepis, Philip K. Chan - 1998
2 Scalability of Hierarchical Meta-Learning on Partitioned Data – Philip K. Chan, Salvatore J. Stolfo - 1997
75 Experiments on Multistrategy Learning by Meta-Learning – Philip Chan, Salvatore J. Stolfo - 1993
4 Toward Scalable and Parallel Inductive Learning: A Case Study in Splice Junction Prediction – Philip Chan, Salvatore J. Stolfo - 1994
86 Toward parallel and distributed learning by meta-learning – Philip K. Chan, Salvatore J. Stolfo - 1993
80 Meta-Learning in Distributed Data Mining Systems: Issues and Approaches – Andreas L. Prodromidis, Philip K. Chan, Salvatore J. Stolfo - 2000
85 A Survey of Methods for Scaling Up Inductive Algorithms – Foster Provost, Venkateswarlu Kolluri - 1999
13 Cost Complexity-based Pruning of Ensemble Classifiers – Andreas L. Prodromidis, Salvatore J. Stolfo - 1999
26 Prototype Selection for Composite Nearest Neighbor Classifiers – David B. Skalak - 1997
1 Meta-Learning Agents for Fraud and Intrusion Detection in Financial Information Systems – Salvatore J. Stolfo, Philip K. Chan, Dave Fan, Wenke Lee, Andreas Prodromidis
22 The Sources of Increased Accuracy for Two Proposed Boosting Algorithms – David B. Skalak - 1996
6 A Comparative Evaluation of Meta-Learning Strategies over Large and Distributed Data Sets – Andreas L. Prodromidis, Salvatore J. Stolfo - 1999
pkc~cs, f it. edu – Philip K. Chan, Salvatore J. Stolfo
8 Learning with Non-uniform Class and Cost Distributions: Effects and a Distributed Multi-classifier Approach – Philip K. Chan, Salvatore J. Stolfo - 1998
Constructing Classification Trees with Exception Annotations for Large Datasets – Jin Li - 1999