Ensemble Classification for Skewed Data Streams Based on Neural Network

Ensemble learning for data stream analysis: A survey

(2017) Bartosz Krawczyk et al.   Information Fusion

How to adjust an ensemble size in stream data mining?

(2017) Lena Pietruczuk et al.   INFORMATION SCIENCES

Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy

(2016) Bartosz Krawczyk et al.   APPLIED SOFT COMPUTING

Characterizing concept drift

(2016) Geoffrey I. Webb et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Evolving Fuzzy Min–Max Neural Network Based Decision Trees for Data Stream Classification

(2016) Zahra Mirzamomen et al.   NEURAL PROCESSING LETTERS

Oversampling the Minority Class in the Feature Space

(2016) Maria Perez-Ortiz et al.   IEEE Transactions on Neural Networks and Learning Systems

Learning concept-drifting data streams with random ensemble decision trees

(2015) Peipei Li et al.   NEUROCOMPUTING

A survey on concept drift adaptation

(2014) João Gama et al.   ACM COMPUTING SURVEYS

Detecting concept change in dynamic data streams

(2014) Russel Pears et al.   MACHINE LEARNING

Imbalanced data classification based on scaling kernel-based support vector machine

(2014) Yong Zhang et al.   NEURAL COMPUTING & APPLICATIONS

An adaptive ensemble classifier for mining concept drifting data streams

(2013) Dewan Md. Farid et al.   EXPERT SYSTEMS WITH APPLICATIONS

Decision Trees for Mining Data Streams Based on the Gaussian Approximation

(2013) Leszek Rutkowski et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Combining block-based and online methods in learning ensembles from concept drifting data streams

(2013) Dariusz Brzezinski et al.   INFORMATION SCIENCES

Weighted Online Sequential Extreme Learning Machine for Class Imbalance Learning

(2013) Bilal Mirza et al.   NEURAL PROCESSING LETTERS

Incremental Learning of Concept Drift from Streaming Imbalanced Data

(2012) Gregory Ditzler et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

DDD: A New Ensemble Approach for Dealing with Concept Drift

(2011) Leandro L. Minku et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Incremental Learning of Concept Drift in Nonstationary Environments

(2011) R. Elwell et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Exploratory Undersampling for Class-Imbalance Learning

(2008) Xu-Ying Liu et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS