The impact of changing populations on classifier performance

Data mining models as services on the internet

ACM SIGKDD Explorations Newsletter

Mining time-changing data streams

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

Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules

TSDM '00 Proceedings of the First International Workshop on Temporal, Spatial, and Spatio-Temporal Data Mining-Revised Papers

Classification of Customer Call Data in the Presence of Concept Drift and Noise

Soft-Ware 2002 Proceedings of the First International Conference on Computing in an Imperfect World

Neural Minimax Classifiers

ICANN '02 Proceedings of the International Conference on Artificial Neural Networks

Multiple Classifier Systems Based on Interpretable Linear Classifiers

MCS '01 Proceedings of the Second International Workshop on Multiple Classifier Systems

Applying lazy learning algorithms to tackle concept drift in spam filtering

Expert Systems with Applications: An International Journal

SpamHunting: An instance-based reasoning system for spam labelling and filtering

Decision Support Systems

Minimax Regret Classifier for Imprecise Class Distributions

The Journal of Machine Learning Research

Conformance standard for the predictive model markup language

Proceedings of the 4th international workshop on Data mining standards, services and platforms

Online classification of nonstationary data streams

Intelligent Data Analysis

A framework for generating data to simulate changing environments

AIAP'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: artificial intelligence and applications

A robust and flexible model of hierarchical self-organizing maps for non-stationary environments

Neurocomputing

Off-the-peg and bespoke classifiers for fraud detection

Computational Statistics & Data Analysis

Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

The Journal of Machine Learning Research

An Incremental Fuzzy Decision Tree Classification Method for Mining Data Streams

MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition

Combining Methods for Dynamic Multiple Classifier Systems

ANNPR '08 Proceedings of the 3rd IAPR workshop on Artificial Neural Networks in Pattern Recognition

Transaction aggregation as a strategy for credit card fraud detection

Data Mining and Knowledge Discovery

Adaptive Mechanisms for Classification Problems with Drifting Data

KES '07 Knowledge-Based Intelligent Information and Engineering Systems and the XVII Italian Workshop on Neural Networks on Proceedings of the 11th International Conference

Minimax classifiers based on neural networks

Pattern Recognition

A new fuzzy decision tree classification method for mining high-speed data streams based on binary search trees

FAW'07 Proceedings of the 1st annual international conference on Frontiers in algorithmics

A new decision tree classification method for mining high-speed data streams based on threaded binary search trees

PAKDD'07 Proceedings of the 2007 international conference on Emerging technologies in knowledge discovery and data mining

Assessing the impact of changing environments on classifier performance

Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence

λ-Perceptron: An adaptive classifier for data streams

Pattern Recognition

Adaptive methods for classification in arbitrarily imbalanced and drifting data streams

PAKDD'09 Proceedings of the 13th Pacific-Asia international conference on Knowledge discovery and data mining: new frontiers in applied data mining

On classifying drifting concepts in P2P networks

ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I

A robust incremental learning method for non-stationary environments

Neurocomputing

A unifying view on dataset shift in classification

Pattern Recognition

Artificial recurrence for classification of streaming data with concept shift

ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems

Learning curve in concept drift while using active learning paradigm

ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems

Statistical process control for validating a classification tree model for predicting mortality - A novel approach towards temporal validation

Journal of Biomedical Informatics

Exploiting class hierarchies for knowledge transfer in hyperspectral data

MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems

Evolutionary adapted ensemble for reoccurring context

HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II

Online linear and quadratic discriminant analysis with adaptive forgetting for streaming classification

Statistical Analysis and Data Mining

Drift mining in data: A framework for addressing drift in classification

Computational Statistics & Data Analysis

Tracking concept drift in malware families

Proceedings of the 5th ACM workshop on Security and artificial intelligence

A survey on concept drift adaptation

ACM Computing Surveys (CSUR)