Learning in the presence of concept drift and hidden contexts

Tracking Context Changes through Meta-Learning

Machine Learning - Special issue on multistrategy learning

Machine Learning for the Detection of Oil Spills in Satellite Radar Images

Machine Learning - Special issue on applications of machine learning and the knowledge discovery process

Extracting Hidden Context

Machine Learning - Special issue on context sensitivity and concept drift

The impact of changing populations on classifier performance

KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

An adaptive algorithm for learning changes in user interests

Proceedings of the eighth international conference on Information and knowledge management

Data mining models as services on the internet

ACM SIGKDD Explorations Newsletter

Selecting Examples for Partial Memory Learning

Machine Learning

Mining time-changing data streams

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

Discovering the set of fundamental rule changes

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

A streaming ensemble algorithm (SEA) for large-scale classification

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

Automatic repairing of web wrappers

Proceedings of the 3rd international workshop on Web information and data management

Mining data streams under block evolution

ACM SIGKDD Explorations Newsletter

A Hybrid Architecture for Situated Learning of Reactive Sequential Decision Making

Applied Intelligence

Adaptive Filtering of Newswire Stories using Two-Level Clustering

Information Retrieval

Machine Learning for User Modeling

User Modeling and User-Adapted Interaction

User Modeling for Adaptive News Access

User Modeling and User-Adapted Interaction

A Taxonomy of Recommender Agents on theInternet

Artificial Intelligence Review

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

Mining Changes for Real-Life Applications

DaWaK 2000 Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery

The Role of Semantic Relevance in Dynamic User Community Management and the Formulation of Recommendations

CAiSE '02 Proceedings of the 14th International Conference on Advanced Information Systems Engineering

Incremental Learning with Partial Instance Memory

ISMIS '02 Proceedings of the 13th International Symposium on Foundations of Intelligent Systems

Tracking Changing User Interests through Prior-Learning of Context

AH '02 Proceedings of the Second International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems

Web Usage Mining as a Tool for Personalization: A Survey

User Modeling and User-Adapted Interaction

Itemset Trees for Targeted Association Querying

IEEE Transactions on Knowledge and Data Engineering

Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift

ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining

Distinctive Features of Minimization of a Risk Functional in Mass Data Sets

Cybernetics and Systems Analysis

Visualizing concept drift

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

Discovering decision rules from numerical data streams

Proceedings of the 2004 ACM symposium on Applied computing

Introduction to the Special Issue on Meta-Learning

Machine Learning

Incremental learning with partial instance memory

Artificial Intelligence

Clustering classifiers for knowledge discovery from physically distributed databases

Data & Knowledge Engineering

A general approach to incorporate data quality matrices into data mining algorithms

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

Relevant Data Expansion for Learning Concept Drift from Sparsely Labeled Data

IEEE Transactions on Knowledge and Data Engineering

Incremental rule learning based on example nearness from numerical data streams

Proceedings of the 2005 ACM symposium on Applied computing

Learning decision trees from dynamic data streams

Proceedings of the 2005 ACM symposium on Applied computing

Combining proactive and reactive predictions for data streams

Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining

Tracking concept drifting with an online-optimized incremental learning framework

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

Using additive expert ensembles to cope with concept drift

ICML '05 Proceedings of the 22nd international conference on Machine learning

Data streams classification by incremental rule learning with parameterized generalization

Proceedings of the 2006 ACM symposium on Applied computing

System approach to intrusion detection using hidden Markov model

Proceedings of the 2006 international conference on Wireless communications and mobile computing

Tackling concept drift by temporal inductive transfer

SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval

A survey of statistical user simulation techniques for reinforcement-learning of dialogue management strategies

The Knowledge Engineering Review

An automatic construction and organization strategy for ensemble learning on data streams

ACM SIGMOD Record

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

Association mining in time-varying domains

Intelligent Data Analysis

Decision trees for mining data streams

Intelligent Data Analysis

OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams

Proceedings of the 2007 ACM symposium on Applied computing

Neighborhood Property--Based Pattern Selection for Support Vector Machines

Neural Computation

Distributed and control theoretic approach to intrusion detection

IWCMC '07 Proceedings of the 2007 international conference on Wireless communications and mobile computing

Real-time ranking with concept drift using expert advice

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining

Conformance standard for the predictive model markup language

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

Incremental learning and concept drift in INTHELEX

Intelligent Data Analysis

Learning drifting concepts: Example selection vs. example weighting

Intelligent Data Analysis

Using multiple windows to track concept drift

Intelligent Data Analysis

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

Dynamic integration of classifiers for handling concept drift

Information Fusion

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

Neurocomputing

Detecting change in data streams

VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30

Immune-inspired incremental feature selection technology to data streams

Applied Soft Computing

Boosting classifiers for drifting concepts

Intelligent Data Analysis - Knowlegde Discovery from Data Streams

Collaborative filtering on streaming data with interest-drifting

Intelligent Data Analysis - Knowlegde Discovery from Data Streams

Efficient instance-based learning on data streams

Intelligent Data Analysis

Real-time data mining of non-stationary data streams from sensor networks

Information Fusion

General support vector representation machine for one-class classification of non-stationary classes

Pattern Recognition

Infobuttons and classification models: A method for the automatic selection of on-line information resources to fulfill clinicians' information needs

Journal of Biomedical Informatics

Learning in Environments with Unknown Dynamics: Towards more Robust Concept Learners

The Journal of Machine Learning Research

Dynamic Weighted Majority: An Ensemble Method for Drifting Concepts

The Journal of Machine Learning Research

LEARNING DRIFTING NEGOTIATIONS

Applied Artificial Intelligence

Info-fuzzy algorithms for mining dynamic data streams

Applied Soft Computing

Evolving fuzzy classifiers using different model architectures

Fuzzy Sets and Systems

An Efficient and Sensitive Decision Tree Approach to Mining Concept-Drifting Data Streams

Informatica

Handling Missing Data from Heteroskedastic and Nonstationary Data

ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks

Catching the Drift: Using Feature-Free Case-Based Reasoning for Spam Filtering

ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development

Assessing Classification Accuracy in the Revision Stage of a CBR Spam Filtering System

ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development

Transfer Learning in Reinforcement Learning Problems Through Partial Policy Recycling

ECML '07 Proceedings of the 18th European conference on Machine Learning

Learning Higher Accuracy Decision Trees from Concept Drifting Data Streams

IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence

Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees

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

Evolutionary Clustering in Description Logics: Controlling Concept Formation and Drift in Ontologies

DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications

StreamKrimp: Detecting Change in Data Streams

ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I

Transferring Instances for Model-Based Reinforcement Learning

ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II

Behavior-Based Network Access Control: A Proof-of-Concept

ISC '08 Proceedings of the 11th international conference on Information Security

ADAPTIVE MACHINE LEARNING IN DELAYED FEEDBACK DOMAINS BY SELECTIVE RELEARNING

Applied Artificial Intelligence

Exploiting temporal contexts in text classification

Proceedings of the 17th ACM conference on Information and knowledge management

Adapting the user context in realtime: tailoring online machine learning algorithms to ambient computing

Mobile Networks and Applications

Mining decision rules on data streams in the presence of concept drifts

Expert Systems with Applications: An International Journal

Managing irrelevant knowledge in CBR models for unsolicited e-mail classification

Expert Systems with Applications: An International Journal

Epistemological Approach to the Process of Practice

Minds and Machines

Cross-Domain Knowledge Transfer Using Semi-supervised Classification

AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

DynamicWEB: Adapting to Concept Drift and Object Drift in COBWEB

AI '08 Proceedings of the 21st Australasian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence

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

Adaptive Learning Rate for Online Linear Discriminant Classifiers

SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition

Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams

Fundamenta Informaticae

Indexing density models for incremental learning and anytime classification on data streams

Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology

An adaptive personalized news dissemination system

Journal of Intelligent Information Systems

A Probabilistic Approach for Mining Drifting User Interest

APWeb/WAIM '09 Proceedings of the Joint International Conferences on Advances in Data and Web Management

An Aggregate Ensemble for Mining Concept Drifting Data Streams with Noise

PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining

Autopoiesis, the immune system, and adaptive information filtering

Natural Computing: an international journal

Adaptive Bayesian network classifiers

Intelligent Data Analysis

Novelty detection with application to data streams

Intelligent Data Analysis - Knowledge Discovery from Data Streams

Flexible decision tree for data stream classification in the presence of concept change, noise and missing values

Data Mining and Knowledge Discovery

Issues in evaluation of stream learning algorithms

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Collaborative filtering with temporal dynamics

Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining

Learning from Data Streams: Synopsis and Change Detection

Proceedings of the 2008 conference on STAIRS 2008: Proceedings of the Fourth Starting AI Researchers' Symposium

An Ensemble of Classifiers for coping with Recurring Contexts in Data Streams

Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence

A Cascade Multiple Classifier System for Document Categorization

MCS '09 Proceedings of the 8th International Workshop on Multiple Classifier Systems

Metric-based stochastic conceptual clustering for ontologies

Information Systems

Metric-based stochastic conceptual clustering for ontologies

Information Systems

Online Mass Flow Prediction in CFB Boilers

ICDM '09 Proceedings of the 9th Industrial Conference on Advances in Data Mining. Applications and Theoretical Aspects

Handling outliers and concept drift in online mass flow prediction in CFB boilers

Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data

Drift-Aware Ensemble Regression

MLDM '09 Proceedings of the 6th International Conference on Machine Learning and Data Mining in Pattern Recognition

Combining Time and Space Similarity for Small Size Learning under Concept Drift

ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems

Concept sampling: towards systematic selection in large-scale mixed concepts in machine learning

IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence

Machine learning in disruption-tolerant MANETs

ACM Transactions on Autonomous and Adaptive Systems (TAAS)

A model updating strategy for predicting time series with seasonal patterns

Applied Soft Computing

Learning-based disassembly process planner for uncertainty management

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans - Special section: Best papers from the 2007 biometrics: Theory, applications, and systems (BTAS 07) conference

On the window size for classification in changing environments

Intelligent Data Analysis

An Integrated Knowledge Adaption Framework for Case-Based Reasoning Systems

KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II

Regression Trees from Data Streams with Drift Detection

DS '09 Proceedings of the 12th International Conference on Discovery Science

Transfer Learning beyond Text Classification

ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning

Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble

ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning

Classification of EEG for Affect Recognition: An Adaptive Approach

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

Learning, detecting, understanding, and predicting concept changes

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Incremental learning in nonstationary environments with controlled forgetting

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

SERA: selectively recursive approach towards nonstationary imbalanced stream data mining

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Collaborative filtering with temporal dynamics

Communications of the ACM

Account-Sharing Detection Through Keystroke Dynamics Analysis

International Journal of Electronic Commerce

Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

Proceedings of the 2010 conference on Adaptive Stream Mining: Pattern Learning and Mining from Evolving Data Streams

Towards incremental classifier fusion

Intelligent Data Analysis

A dynamic normal profiling for anomaly detection

WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing

A case-based technique for tracking concept drift in spam filtering

Knowledge-Based Systems

Transfer Learning for Reinforcement Learning Domains: A Survey

The Journal of Machine Learning Research

An ensemble approach for incremental learning in nonstationary environments

MCS'07 Proceedings of the 7th international conference on Multiple classifier systems

Probabilistic aggregation of classifiers for incremental learning

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks

A new learning strategy for classification problems with different training and test distributions

IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks

An efficient algorithm for instance-based learning on data streams

ICDM'07 Proceedings of the 7th industrial conference on Advances in data mining: theoretical aspects and applications

Coping with unconsidered context of formalized knowledge

CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context

Detecting concept drift using statistical testing

DS'07 Proceedings of the 10th international conference on Discovery science

To better handle concept change and noise: a cellular automata approach to data stream classification

AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence

Change detection in learning histograms from data streams

EPIA'07 Proceedings of the aritficial intelligence 13th Portuguese conference on Progress in artificial intelligence

Selection pressure driven sliding window behavior in genetic programming based structure identification

EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory

Conceptual clustering and its application to concept drift and novelty detection

ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications

Mining multi-label concept-drifting data streams using ensemble classifiers

FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5

Machine learning based learner modeling for adaptive web-based learning

ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part I

Adaptive inferential sensors based on evolving fuzzy models

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

Inference from aging information

IEEE Transactions on Neural Networks

A combinational incremental ensemble of classifiers as a technique for predicting students' performance in distance education

Knowledge-Based Systems

CALDS: context-aware learning from data streams

Proceedings of the First International Workshop on Novel Data Stream Pattern Mining Techniques

Environmental user-preference learning for smart homes: An autonomous approach

Journal of Ambient Intelligence and Smart Environments

Temporally-aware algorithms for document classification

Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval

Active learning for biomedical citation screening

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining

Temporal recommendation on graphs via long- and short-term preference fusion

Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining

λ-Perceptron: An adaptive classifier for data streams

Pattern Recognition

We're not in Kansas anymore: detecting domain changes in streams

EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing

Partial drift detection using a rule induction framework

CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management

Tracking recurrent concepts using context

RSCTC'10 Proceedings of the 7th international conference on Rough sets and current trends in computing

Dynamic financial distress prediction using instance selection for the disposal of concept drift

Expert Systems with Applications: An International Journal

Moving targets: when data classes depend on subjective judgement, or they are crafted by an adversary to mislead pattern analysis algorithms - the cases of content based image retrieval and adversarial classification

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

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

Adaptive classifiers with ICI-based adaptive knowledge base management

ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part II

Robust ensemble learning for mining noisy data streams

Decision Support Systems

Improving the learning of recurring concepts through high-level fuzzy contexts

RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology

Handling drifts and shifts in on-line data streams with evolving fuzzy systems

Applied Soft Computing

Rapid behavior adaptation for human-centered robots in a dynamic environment based on the integration of primitive confidences on multi-sensor elements

Artificial Life and Robotics

Two-stage approach for unbalanced classification with time-varying decision boundary: application to marine container inspection

ACM SIGKDD Workshop on Intelligence and Security Informatics

Mining concept-drifting data streams containing labeled and unlabeled instances

IEA/AIE'10 Proceedings of the 23rd international conference on Industrial engineering and other applications of applied intelligent systems - Volume Part I

Exploiting concept clumping for efficient incremental e-mail categorization

ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications - Volume Part II

Learning model trees from evolving data streams

Data Mining and Knowledge Discovery

Learning recurring concepts from data streams with a context-aware ensemble

Proceedings of the 2011 ACM Symposium on Applied Computing

Incremental learning with multi-level adaptation

Neurocomputing

A robust incremental learning method for non-stationary environments

Neurocomputing

Effective sentiment stream analysis with self-augmenting training and demand-driven projection

Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval

Distributed learning with data reduction

Transactions on computational collective intelligence IV

Identifying hidden contexts in classification

PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part I

Leakage in data mining: formulation, detection, and avoidance

Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining

Handling concept drift in process mining

CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering

Bayesian approach to the pattern recognition problem in nonstationary environment

PReMI'11 Proceedings of the 4th international conference on Pattern recognition and machine intelligence

Batch weighted ensemble for mining data streams with concept drift

ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems

Concept drift and how to identify it

Web Semantics: Science, Services and Agents on the World Wide Web

A unifying view on dataset shift in classification

Pattern Recognition

Context-aware parameter estimation for forecast models in the energy domain

SSDBM'11 Proceedings of the 23rd international conference on Scientific and statistical database management

Mining data streams with concept drifts using genetic algorithm

Artificial Intelligence Review

Context change detection for resource allocation in service-oriented systems

KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part II

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

An efficient continuous attributes handling method for mining concept-drifting data streams based on skip list

AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part I

Possibilistic network-based classifiers: on the reject option and concept drift issues

SUM'11 Proceedings of the 5th international conference on Scalable uncertainty management

Discovering customer intent in real-time for streamlining service desk conversations

Proceedings of the 20th ACM international conference on Information and knowledge management

An incremental ensemble of classifiers

Artificial Intelligence Review

Context-aware collaborative data stream mining in ubiquitous devices

IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X

Learning about the learning process

IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X

Exponentially weighted moving average charts for detecting concept drift

Pattern Recognition Letters

Tokenising, stemming and stopword removal on anti-spam filtering domain

CAEPIA'05 Proceedings of the 11th Spanish association conference on Current Topics in Artificial Intelligence

Mining Recurring Concept Drifts with Limited Labeled Streaming Data

ACM Transactions on Intelligent Systems and Technology (TIST)

An adaptive prequential learning framework for bayesian network classifiers

PKDD'06 Proceedings of the 10th European conference on Principle and Practice of Knowledge Discovery in Databases

Adaptive classifier selection based on two level hypothesis tests for incremental learning

SSPR'06/SPR'06 Proceedings of the 2006 joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

Classifying noisy data streams

FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery

Efficient mining of emerging events in a dynamic spatiotemporal environment

PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining

On the utility of incremental feature selection for the classification of textual data streams

PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics

Learning with local drift detection

ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications

Improving the performance of data stream classifiers by mining recurring contexts

ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications

AUV-enabled adaptive underwater surveying for optimal data collection

Intelligent Service Robotics

ACE: adaptive classifiers-ensemble system for concept-drifting environments

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

Self-reproduction for articulated behaviors with dual humanoid robots using on-line decision tree classification

Robotica

On-Line learning of decision trees in problems with unknown dynamics

MICAI'05 Proceedings of the 4th Mexican international conference on Advances in Artificial Intelligence

Robustness of classifiers to changing environments

AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence

An adaptive classification system for video-based face recognition

Information Sciences: an International Journal

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

Cases, context, and comfort: opportunities for case-based reasoning in smart homes

Designing Smart Homes

Visualizing user communities and usage trends of digital libraries based on user tracking information

ICADL'06 Proceedings of the 9th international conference on Asian Digital Libraries: achievements, Challenges and Opportunities

Monitoring incremental histogram distribution for change detection in data streams

Sensor-KDD'08 Proceedings of the Second international conference on Knowledge Discovery from Sensor Data

Online non-stationary boosting

MCS'10 Proceedings of the 9th international conference on Multiple Classifier Systems

Predicting concept changes using a committee of experts

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

Detecting change via competence model

ICCBR'10 Proceedings of the 18th international conference on Case-Based Reasoning Research and Development

Probabilistic user modeling in the presence of drifting concepts

PAKDD'10 Proceedings of the 14th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part I

An ensemble method for incremental classification in stationary and non-stationary environments

CIARP'11 Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

Mining spatio-temporal information on microblogging streams using a density-based online clustering method

Expert Systems with Applications: An International Journal

Data with shifting concept classification using simulated recurrence

ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I

Very Fast Decision Rules for multi-class problems

Proceedings of the 27th Annual ACM Symposium on Applied Computing

Semi-supervised ensemble learning of data streams in the presence of concept drift

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

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

Learning decision rules from data streams

IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two

2011 Special Issue: A just-in-time adaptive classification system based on the intersection of confidence intervals rule

Neural Networks

Hybrid active learning for reducing the annotation effort of operators in classification systems

Pattern Recognition

Improving tweet stream classification by detecting changes in word probability

SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval

Unexpected challenges in large scale machine learning

Proceedings of the 1st International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications

Bayesian approach to the concept drift in the pattern recognition problems

MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition

Class Specific Fuzzy Decision Trees for Mining High Speed Data Streams

Fundamenta Informaticae

Learning from evolving data streams: online triage of bug reports

EACL '12 Proceedings of the 13th Conference of the European Chapter of the Association for Computational Linguistics

Tracking concept drift in malware families

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

Leakage in data mining: Formulation, detection, and avoidance

ACM Transactions on Knowledge Discovery from Data (TKDD) - Special Issue on the Best of SIGKDD 2011

A new method of mining data streams using harmony search

Journal of Intelligent Information Systems

An attempt to employ genetic fuzzy systems to predict from a data stream of premises transactions

SUM'12 Proceedings of the 6th international conference on Scalable Uncertainty Management

Handling time changing data with adaptive very fast decision rules

ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I

Comparison of long-term adaptivity for neural networks

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II

A social approach for learning agents

Expert Systems with Applications: An International Journal

Temporal contexts: Effective text classification in evolving document collections

Information Systems

A rank-one update method for least squares linear discriminant analysis with concept drift

Pattern Recognition

An analysis of change trends by predicting from a data stream using genetic fuzzy systems

ICCCI'12 Proceedings of the 4th international conference on Computational Collective Intelligence: technologies and applications - Volume Part I

Classification of Peer-to-Peer Traffic Using A Two-Stage Window-Based Classifier With Fast Decision Tree and IP Layer Attributes

International Journal of Data Warehousing and Mining

On evaluating stream learning algorithms

Machine Learning

Spam e-mail classification based on the IFWB algorithm

ACIIDS'13 Proceedings of the 5th Asian conference on Intelligent Information and Database Systems - Volume Part I

An ensemble clustering model for mining concept drifting stream data in emergency management

DM-IKM '12 Proceedings of the Data Mining and Intelligent Knowledge Management Workshop

Dynamic multi-objective evolution of classifier ensembles for video face recognition

Applied Soft Computing

RCD: A recurring concept drift framework

Pattern Recognition Letters

Discovering evolution chains in dynamic networks

NFMCP'12 Proceedings of the First international conference on New Frontiers in Mining Complex Patterns

A hidden Markov model for collaborative filtering

MIS Quarterly

Object tracking within the framework of concept drift

ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part III

On distributed online classification in the midst of concept drifts

Neurocomputing

A comparative study on feature selection and adaptive strategies for email foldering using the ABC-DynF framework

Knowledge-Based Systems

Mitigating the obsolescence of specification models of service-based systems

Proceedings of the 2013 International Conference on Software Engineering

Which work-item updates need your response?

Proceedings of the 10th Working Conference on Mining Software Repositories

From amateurs to connoisseurs: modeling the evolution of user expertise through online reviews

Proceedings of the 22nd international conference on World Wide Web

An incremental learning algorithm based on the K-associated graph for non-stationary data classification

Information Sciences: an International Journal

An adaptive ensemble classifier for mining concept drifting data streams

Expert Systems with Applications: An International Journal

Leveraging microblogging big data with a modified density-based clustering approach for event awareness and topic ranking

Journal of Information Science

A survey on concept drift adaptation

ACM Computing Surveys (CSUR)

Decremental learning of evolving fuzzy inference systems: application to handwritten gesture recognition

MLDM'13 Proceedings of the 9th international conference on Machine Learning and Data Mining in Pattern Recognition

Ensemble of online neural networks for non-stationary and imbalanced data streams

Neurocomputing

Prediction of members' return visit rates using a time factor

Electronic Commerce Research and Applications

Sentiment analysis on evolving social streams: how self-report imbalances can help

Proceedings of the 7th ACM international conference on Web search and data mining

Dynamic supervised classification method for online monitoring in non-stationary environments

Neurocomputing

On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed

Information Sciences: an International Journal

Probabilistic local reconstruction for k-NN regression and its application to virtual metrology in semiconductor manufacturing

Neurocomputing

Concept drift detection via competence models

Artificial Intelligence

Customer profile classification: To adapt classifiers or to relabel customer profiles?

Neurocomputing

Classifying evolving data streams with partially labeled data

Intelligent Data Analysis

Tracking recurrent concepts using context

Intelligent Data Analysis - Combined Learning Methods and Mining Complex Data