Incremental batch learning

Extracting Hidden Context

Machine Learning - Special issue on context sensitivity and concept drift

Customer Retention via Data Mining

Artificial Intelligence Review - Issues on the application of data mining

The distributed boosting algorithm

Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining

Boosting Algorithms for Parallel and Distributed Learning

Distributed and Parallel Databases - Special issue: Parallel and distributed data mining

A Survey of Methods for Scaling Up Inductive Algorithms

Data Mining and Knowledge Discovery

Synthesizing High-Frequency Rules from Different Data Sources

IEEE Transactions on Knowledge and Data Engineering

Learning Rules from Distributed Data

Revised Papers from Large-Scale Parallel Data Mining, Workshop on Large-Scale Parallel KDD Systems, SIGKDD

Data mining tasks and methods: scalability

Handbook of data mining and knowledge discovery

Tracking concept drifting with an online-optimized incremental learning framework

Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrieval

Association rule mining: models and algorithms

Association rule mining: models and algorithms

Inductive policy

AAAI'92 Proceedings of the tenth national conference on Artificial intelligence

Scaling up: distributed machine learning with cooperation

AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1

Peer-to-peer data mining classifiers for decentralized detection of network attacks

ADC '13 Proceedings of the Twenty-Fourth Australasian Database Conference - Volume 137