Handling concept drifts in incremental learning with support vector machines

An efficient and scalable data compression approach to classification

ACM SIGKDD Explorations Newsletter - Special issue on “Scalable data mining algorithms”

On Issues of Instance Selection

Data Mining and Knowledge Discovery

Sparse Online Greedy Support Vector Regression

ECML '02 Proceedings of the 13th European Conference on Machine Learning

An Efficient Data Compression Approach to the Classification Task

PAKDD '01 Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining

Mining customer product ratings for personalized marketing

Decision Support Systems - Special issue: Web data mining

Incremental learning with partial instance memory

Artificial Intelligence

Incremental rule learning based on example nearness from numerical data streams

Proceedings of the 2005 ACM symposium on Applied computing

Data streams classification by incremental rule learning with parameterized generalization

Proceedings of the 2006 ACM symposium on Applied computing

Applying lazy learning algorithms to tackle concept drift in spam filtering

Expert Systems with Applications: An International Journal

Support vector regression for classifier prediction

Proceedings of the 9th annual conference on Genetic and evolutionary computation

Learning drifting concepts: Example selection vs. example weighting

Intelligent Data Analysis

Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

The Journal of Machine Learning Research

Speed Up SVM Algorithm for Massive Classification Tasks

ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications

Online multi-label active annotation: towards large-scale content-based video search

MM '08 Proceedings of the 16th ACM international conference on Multimedia

An incremental learning algorithm for Lagrangian support vector machines

Pattern Recognition Letters

Learning support vector machines from distributed data sources

AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 4

Collaborative-Comparison Learning for Complex Event Detection Using Distributed Hierarchical Graph Neuron (DHGN) Approach in Wireless Sensor Network

AI '09 Proceedings of the 22nd Australasian Joint Conference on Advances in Artificial Intelligence

Incremental learning of support vector machines by classifier combining

PAKDD'07 Proceedings of the 11th Pacific-Asia conference on Advances in knowledge discovery and data mining

The more you learn, the less you store: Memory-controlled incremental SVM for visual place recognition

Image and Vision Computing

A distributed event detection scheme for wireless sensor networks

Proceedings of the 7th International Conference on Advances in Mobile Computing and Multimedia

An online core vector machine with adaptive MEB adjustment

Pattern Recognition

Describing data with the support vector shell in distributed environments

ICDM'10 Proceedings of the 10th industrial conference on Advances in data mining: applications and theoretical aspects

An incremental support vector machine-trained TS-type fuzzy system for online classification problems

Fuzzy Sets and Systems

A scalable support vector machine for distributed classification in ad hoc sensor networks

Neurocomputing

Robust ensemble learning for mining noisy data streams

Decision Support Systems

Distributed Multi-Feature Recognition Scheme for Greyscale Images

Neural Processing Letters

Incremental SVM based on reserved set for network intrusion detection

Expert Systems with Applications: An International Journal

A hierarchical and parallel method for training support vector machines

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I

Concept updating with support vector machines

WAIM'05 Proceedings of the 6th international conference on Advances in Web-Age Information Management

Detection of tornados using an incremental revised support vector machine with filters

ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part III

Temporal evolution and local patterns

LPD'04 Proceedings of the 2004 international conference on Local Pattern Detection

A comparative performance study of feature selection methods for the anti-spam filtering domain

ICDM'06 Proceedings of the 6th Industrial Conference on Data Mining conference on Advances in Data Mining: applications in Medicine, Web Mining, Marketing, Image and Signal Mining

Tracking concept drift at feature selection stage in spamhunting: an anti-spam instance-based reasoning system

ECCBR'06 Proceedings of the 8th European conference on Advances in Case-Based Reasoning

Predicting concept changes using a committee of experts

ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I

Modeling user search behavior for masquerade detection

RAID'11 Proceedings of the 14th international conference on Recent Advances in Intrusion Detection

A framework for application-driven classification of data streams

Neurocomputing

Inverse matrix-free incremental proximal support vector machine

Decision Support Systems

Real-Time object tracking algorithm employing on-line support vector machine and multiple candidate regeneration

ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I

A comparison of one-class bag-of-words user behavior modeling techniques for masquerade detection

Security and Communication Networks

Alternative rule induction methods based on incremental object using rough set theory

Applied Soft Computing

CloudSVM: training an SVM classifier in cloud computing systems

ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World

A survey on concept drift adaptation

ACM Computing Surveys (CSUR)

Application of an incremental SVM algorithm for on-line human recognition from video surveillance using texture and color features

Neurocomputing