Search results for "Concept drift"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
3	Ryan Elwell, Robi Polikar	Incremental Learning of Variable Rate Concept Drift.	MCS	2009	DBLP DOI BibTeX RDF	nonstationary environment, Learn?+?+?.NSE, concept drift
3	Joel Scanlan, Jacky Hartnett, Raymond Williams	DynamicWEB: Adapting to Concept Drift and Object Drift in COBWEB.	Australasian Conference on Artificial Intelligence	2008	DBLP DOI BibTeX RDF	Contextual Clustering, Data Mining, Concept Drift
3	Eduardo J. Spinosa, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama	OLINDDA: a cluster-based approach for detecting novelty and concept drift in data streams.	SAC	2007	DBLP DOI BibTeX RDF	clustering, data streams, concept drift, novelty detection
3	Hila Becker, Marta Arias	Real-time ranking with concept drift using expert advice.	KDD	2007	DBLP DOI BibTeX RDF	data streams, ranking, online learning, concept drift
3	George Forman	Tackling concept drift by temporal inductive transfer.	SIGIR	2006	DBLP DOI BibTeX RDF	machine learning, support vector machine, time series, text classification, concept drift, topic identification, inductive transfer
3	Michaela M. Black, Ray J. Hickey	Learning classification rules for telecom customer call data under concept drift.	Soft Comput.	2003	DBLP DOI BibTeX RDF	Decision trees, User profiling, Concept drift, Adaptive learning
2	Leandro L. Minku, Allan P. White, Xin Yao	The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift.	IEEE Trans. Knowl. Data Eng.	2010	DBLP DOI BibTeX RDF	diversity, online learning, Concept drift, neural network ensembles
2	Indre Zliobaite	Combining Time and Space Similarity for Small Size Learning under Concept Drift.	ISMIS	2009	DBLP DOI BibTeX RDF
2	Federico Maggi, William K. Robertson, Christopher Krügel, Giovanni Vigna	Protecting a Moving Target: Addressing Web Application Concept Drift.	RAID	2009	DBLP DOI BibTeX RDF	Machine Learning, Anomaly Detection, Concept Drift, Web Application Security
2	Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer, Richard Kirkby, Ricard Gavaldà	New ensemble methods for evolving data streams.	KDD	2009	DBLP DOI BibTeX RDF	decision trees, data streams, concept drift, ensemble methods
2	Yehuda Koren	Collaborative filtering with temporal dynamics.	KDD	2009	DBLP DOI BibTeX RDF	recommender systems, collaborative filtering, concept drift
2	João Gama, Petr Kosina	Tracking Recurring Concepts with Meta-learners.	EPIA	2009	DBLP DOI BibTeX RDF	Recurring Concepts, Data Streams, Concept Drift
2	Bijan Raahemi, Weicai Zhong, Jing Liu	Exploiting unlabeled data to improve peer-to-peer traffic classification using incremental tri-training method.	Peer-to-Peer Networking and Applications	2009	DBLP DOI BibTeX RDF	Windowing technique, Tri-training, Peer-to-peer traffic, IP traffic identification, Concept drift, Unlabeled data, Stream data mining
2	Stephen H. Bach, Marcus A. Maloof	Paired Learners for Concept Drift.	ICDM	2008	DBLP DOI BibTeX RDF
2	Nicola Fanizzi, Claudia d'Amato, Floriana Esposito	Conceptual Clustering and Its Application to Concept Drift and Novelty Detection.	ESWC	2008	DBLP DOI BibTeX RDF
2	Indre Zliobaite	Expected Classification Error of the Euclidean Linear Classifier under Sudden Concept Drift.	FSKD	2008	DBLP DOI BibTeX RDF
2	Ludmila I. Kuncheva, Indre Zliobaite	Linear Discriminant Classifier (LDC) for Streaming Data with Concept Drift.	SSPR/SPR	2008	DBLP DOI BibTeX RDF
2	Pei-Pei Li, Xuegang Hu, Xindong Wu	Mining Concept-Drifting Data Streams with Multiple Semi-Random Decision Trees.	ADMA	2008	DBLP DOI BibTeX RDF	Classification, Data Streams, Concept Drift, Random Decision Trees
2	Satoru Nishimura, Masahiro Terabe, Kazuo Hashimoto	Decision Tree Induction from Numeric Data Stream.	Australasian Conference on Artificial Intelligence	2008	DBLP DOI BibTeX RDF	Numeric Data Stream, Hoeffding Tree, Concept Drift
2	Shohei Hido, Tsuyoshi Idé, Hisashi Kashima, Harunobu Kubo, Hirofumi Matsuzawa	Unsupervised Change Analysis Using Supervised Learning.	PAKDD	2008	DBLP DOI BibTeX RDF	two-sample test, concept drift, change analysis
2	Carlos Pinto, Joao Gama	Incremental discretization, application to data with concept drift.	SAC	2007	DBLP DOI BibTeX RDF
2	Chien-I Lee, Cheng-Jung Tsai, Jhe-Hao Wu, Wei-Pang Yang	A Decision Tree-Based Approach to Mining the Rules of Concept Drift.	FSKD	2007	DBLP DOI BibTeX RDF
2	Kyosuke Nishida, Koichiro Yamauchi	Detecting Concept Drift Using Statistical Testing.	Discovery Science	2007	DBLP DOI BibTeX RDF
2	Peng Wang, Haixun Wang, Xiaochen Wu, Wei Wang 0009, Baile Shi	A Low-Granularity Classifier for Data Streams with Concept Drifts and Biased Class Distribution.	IEEE Trans. Knowl. Data Eng.	2007	DBLP DOI BibTeX RDF	Classification, association rule, data stream, concept drift
2	José Ramon Méndez, Florentino Fernández Riverola, Eva Lorenzo Iglesias, Fernando Díaz, Juan M. Corchado	Tracking Concept Drift at Feature Selection Stage in SpamHunting: An Anti-spam Instance-Based Reasoning System.	ECCBR	2006	DBLP DOI BibTeX RDF
2	Alexey Tsymbal, Mykola Pechenizkiy, Padraig Cunningham, Seppo Puuronen	Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections.	CBMS	2006	DBLP DOI BibTeX RDF
2	Yi Ding, Xue Li, Maria E. Orlowska	Recency-based collaborative filtering.	ADC	2006	DBLP DOI BibTeX RDF	item-based approach, recency-based approach, collaborative filtering, similarity measure, concept drift
2	Hyun-Jun Kim, Jenu Shrestha, Heung-Nam Kim, GeunSik Jo	User Action Based Adaptive Learning with Weighted Bayesian Classification for Filtering Spam Mail.	Australian Conference on Artificial Intelligence	2006	DBLP DOI BibTeX RDF	Weighted Bayesian, Concept Drift, Adaptive Learning, Spam Filtering
2	Dwi H. Widyantoro, John Yen	Relevant Data Expansion for Learning Concept Drift from Sparsely Labeled Data.	IEEE Trans. Knowl. Data Eng.	2005	DBLP DOI BibTeX RDF	relevance feedback, information filtering, Concept learning
2	Jeremy Z. Kolter, Marcus A. Maloof	Using additive expert ensembles to cope with concept drift.	ICML	2005	DBLP DOI BibTeX RDF
2	Michaela M. Black, Ray J. Hickey	Detecting and Adapting to Concept Drift in Bioinformatics.	KELSI	2004	DBLP DOI BibTeX RDF
2	João Gama, Pedro Medas, Gladys Castillo, Pedro Pereira Rodrigues	Learning with Drift Detection.	SBIA	2004	DBLP DOI BibTeX RDF	Incremental Supervised Learning, Machine Learning, Concept Drift
2	Jeremy Z. Kolter, Marcus A. Maloof	Dynamic Weighted Majority: A New Ensemble Method for Tracking Concept Drift.	ICDM	2003	DBLP DOI BibTeX RDF
2	Kevin B. Pratt, Gleb Tschapek	Visualizing concept drift.	KDD	2003	DBLP DOI BibTeX RDF	parallel coordinate graph, parallel histogram, visualization, concept drift, brushing
2	Matjaz Kukar	Drifting Concepts as Hidden Factors in Clinical Studies.	AIME	2003	DBLP DOI BibTeX RDF	partial memory learning, gradual forgetting, clinical studies, Data Mining, Machine Learning, windowing, concept drift
2	Michaela M. Black, Ray J. Hickey	Classification of Customer Call Data in the Presence of Concept Drift and Noise.	Soft-Ware	2002	DBLP DOI BibTeX RDF
2	Geoffrey I. Webb, Michael J. Pazzani, Daniel Billsus	Machine Learning for User Modeling.	User Model. User-Adapt. Interact.	2001	DBLP DOI BibTeX RDF	machine learning, World Wide Web, computational complexity, user modeling, concept drift, information agents
2	Ray J. Hickey, Michaela M. Black	Refined Time Stamps for Concept Drift Detection During Mining for Classification Rules.	TSDM	2000	DBLP DOI BibTeX RDF
2	John Case, Sanjay Jain, Susanne Kaufmann, Arun Sharma, Frank Stephan	Predictive Learning Models for Concept Drift.	ALT	1998	DBLP DOI BibTeX RDF
2	Fredrik Kilander, Carl Gustaf Jansson	COBBIT - A Control Procedure for COBWEB in the Presence of Concept Drift.	ECML	1993	DBLP DOI BibTeX RDF
1	Leandro L. Minku, Xin Yao	DDD: A New Ensemble Approach for Dealing with Concept Drift.	IEEE Trans. Knowl. Data Eng.	2012	DBLP DOI BibTeX RDF
1	Jayalath Ekanayake, Jonas Tappolet, Harald C. Gall, Abraham Bernstein	Time variance and defect prediction in software projects - Towards an exploitation of periods of stability and change as well as a notion of concept drift in software projects.	Empirical Software Engineering	2012	DBLP DOI BibTeX RDF
1	Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick	Adaptive cascade of boosted ensembles for face detection in concept drift.	Neural Computing and Applications	2012	DBLP DOI BibTeX RDF
1	Gordon J. Ross, Niall M. Adams, Dimitris K. Tasoulis, David J. Hand	Exponentially weighted moving average charts for detecting concept drift.	Pattern Recognition Letters	2012	DBLP DOI BibTeX RDF
1	Zahra Ahmadi, Hamid Beigy	Semi-supervised Ensemble Learning of Data Streams in the Presence of Concept Drift.	HAIS	2012	DBLP DOI BibTeX RDF
1	Maciej Jaworski, Piotr Duda, Lena Pietruczuk	On Fuzzy Clustering of Data Streams with Concept Drift.	ICAISC	2012	DBLP DOI BibTeX RDF
1	Artur Silic, Bojana Dalbelo Basic	Exploring Classification Concept Drift on a Large News Text Corpus.	CICLing	2012	DBLP DOI BibTeX RDF
1	Jie Sun 0002, Hui Li	Dynamic financial distress prediction using instance selection for the disposal of concept drift.	Expert Syst. Appl.	2011	DBLP DOI BibTeX RDF
1	David Hadas, Galit Yovel, Nathan Intrator	Using unsupervised incremental learning to cope with gradual concept drift.	Connect. Sci.	2011	DBLP DOI BibTeX RDF
1	Jeong-Hoon Lee, Yoon-Joon Lee	Concept Drift Detection for Evolving Stream Data.	IEICE Transactions	2011	DBLP BibTeX RDF
1	Ryan Elwell, Robi Polikar	Incremental Learning of Concept Drift in Nonstationary Environments.	IEEE Transactions on Neural Networks	2011	DBLP DOI BibTeX RDF
1	Shenghui Wang, Stefan Schlobach, Michel C. A. Klein	Concept drift and how to identify it.	J. Web Sem.	2011	DBLP DOI BibTeX RDF
1	Indre Zliobaite, Albert Bifet, Geoff Holmes, Bernhard Pfahringer	MOA Concept Drift Active Learning Strategies for Streaming Data.	Journal of Machine Learning Research - Proceedings Track	2011	DBLP BibTeX RDF
1	Rocío Alaíz-Rodríguez, Alicia Guerrero-Curieses, Jesús Cid-Sueiro	Class and subclass probability re-estimation to adapt a classifier in the presence of concept drift.	Neurocomputing	2011	DBLP DOI BibTeX RDF
1	Indre Zliobaite	Combining similarity in time and space for training set formation under concept drift.	Intell. Data Anal.	2011	DBLP DOI BibTeX RDF
1	Georg Krempl, Zaigham Faraz Siddiqui, Myra Spiliopoulou	Online Clustering of High-Dimensional Trajectories under Concept Drift.	ECML/PKDD	2011	DBLP DOI BibTeX RDF
1	Gregor Stiglic, Peter Kokol	Interpretability of Sudden Concept Drift in Medical Informatics Domain.	ICDM Workshops	2011	DBLP DOI BibTeX RDF
1	Eleftherios Spyromitros Xioufis, Myra Spiliopoulou, Grigorios Tsoumakas, Ioannis P. Vlahavas	Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification.	IJCAI	2011	DBLP BibTeX RDF
1	Karim Tabia	Possibilistic Network-Based Classifiers: On the Reject Option and Concept Drift Issues.	SUM	2011	DBLP DOI BibTeX RDF
1	R. P. Jagadeesh Chandra Bose, Wil M. P. van der Aalst, Indre Zliobaite, Mykola Pechenizkiy	Handling Concept Drift in Process Mining.	CAiSE	2011	DBLP DOI BibTeX RDF
1	Magdalena Deckert	Batch Weighted Ensemble for Mining Data Streams with Concept Drift.	ISMIS	2011	DBLP DOI BibTeX RDF
1	Dariusz Brzezinski, Jerzy Stefanowski	Accuracy Updated Ensemble for Data Streams with Concept Drift.	HAIS	2011	DBLP DOI BibTeX RDF
1	Kamil Bartocha, Igor T. Podolak	Classifier Ensembles for Virtual Concept Drift - The DEnBoost Algorithm.	HAIS	2011	DBLP DOI BibTeX RDF
1	Zhenzheng Ouyang, Yuhai Gao, Zipeng Zhao, Tao Wang	Study on the classification of data streams with concept drift.	FSKD	2011	DBLP DOI BibTeX RDF
1	Bartosz Kurlej, Michal Wozniak	Learning Curve in Concept Drift While Using Active Learning Paradigm.	ICAIS	2011	DBLP DOI BibTeX RDF
1	Nachai Limsetto, Kitsana Waiyamai	Handling Concept Drift via Ensemble and Class Distribution Estimation Technique.	ADMA	2011	DBLP DOI BibTeX RDF
1	Indre Zliobaite	Learning under Concept Drift: an Overview	CoRR	2010	DBLP BibTeX RDF
1	Claude Sammut, Michael Bonnell Harries	Concept Drift.	Encyclopedia of Machine Learning	2010	DBLP DOI BibTeX RDF
1	Marcus A. Maloof	The AQ Methods for Concept Drift.	Advances in Machine Learning I	2010	DBLP DOI BibTeX RDF
1	Masabumi Furuhata, Takanobu Mizuta, Jihei So	Paired Evaluators Method to Track Concept Drift: An Application for Hedge Funds Operations.	ICDM Workshops	2010	DBLP DOI BibTeX RDF
1	Runxin Wang, Lei Shi, Mícheál Ó Foghlú, Eric Robson	A Meta-learning Method for Concept Drift.	KDIR	2010	DBLP BibTeX RDF
1	Mykola Pechenizkiy, Indre Zliobaite	Handling concept drift in medical applications: Importance, challenges and solutions.	CBMS	2010	DBLP DOI BibTeX RDF
1	Teo Susnjak, Andre L. C. Barczak, Ken A. Hawick	Adaptive Ensemble Based Learning in Non-stationary Environments with Variable Concept Drift.	ICONIP	2010	DBLP DOI BibTeX RDF
1	Gary R. Marrs, Ray J. Hickey, Michaela M. Black	The Impact of Latency on Online Classification Learning with Concept Drift.	KSEM	2010	DBLP DOI BibTeX RDF
1	Bartosz Kurlej, Piotr Sobolewski, Michal Wozniak	Simple combining classifiers for a special case of incremental concept drift problem.	ISDA	2010	DBLP DOI BibTeX RDF
1	Patrick Lindstrom, Sarah Jane Delany, Brian Mac Namee	Handling Concept Drift in a Text Data Stream Constrained by High Labelling Cost.	FLAIRS Conference	2010	DBLP BibTeX RDF
1	Morteza Zi Hayat, Mahmoud Reza Hashemi	A DCT based approach for detecting novelty and concept drift in data streams.	SoCPaR	2010	DBLP DOI BibTeX RDF
1	Koby Crammer, Yishay Mansour, Eyal Even-Dar, Jennifer Wortman Vaughan	Regret Minimization With Concept Drift.	COLT	2010	DBLP BibTeX RDF
1	Gregory Ditzler, Robi Polikar	An ensemble based incremental learning framework for concept drift and class imbalance.	IJCNN	2010	DBLP DOI BibTeX RDF
1	Stephen H. Bach, Marcus A. Maloof	A Bayesian Approach to Concept Drift.	NIPS	2010	DBLP BibTeX RDF
1	Shenghui Wang, Stefan Schlobach, Michel C. A. Klein	What Is Concept Drift and How to Measure It?	EKAW	2010	DBLP DOI BibTeX RDF
1	Mohit Kumar, Rayid Ghani, Zhu-Song Mei	Data mining to predict and prevent errors in health insurance claims processing.	KDD	2010	DBLP DOI BibTeX RDF	claim rework identification, health insurance claims, machine learning
1	Xuejun Liao, Lawrence Carin	Migratory Logistic Regression for Learning Concept Drift Between Two Data Sets With Application to UXO Sensing.	IEEE T. Geoscience and Remote Sensing	2009	DBLP DOI BibTeX RDF
1	Anton Dries, Ulrich Rückert 0002	Adaptive concept drift detection.	Statistical Analysis and Data Mining	2009	DBLP DOI BibTeX RDF
1	Mykola Pechenizkiy, Jorn Bakker, Indre Zliobaite, Andriy Ivannikov, Tommi Kärkkäinen	Online mass flow prediction in CFB boilers with explicit detection of sudden concept drift.	SIGKDD Explorations	2009	DBLP DOI BibTeX RDF
1		Concept Drift.	Encyclopedia of Biometrics	2009	DBLP DOI BibTeX RDF
1	Indre, Ludmila I. Kuncheva	Determining the Training Window for Small Sample Size Classification with Concept Drift.	ICDM Workshops	2009	DBLP DOI BibTeX RDF
1	Anton Dries, Ulrich Rückert 0002	Adaptive Concept Drift Detection.	SDM	2009	DBLP BibTeX RDF
1	Yutaka Miyazaki, Yuzuru Tanaka	Concept Drift in documents and Formal Concept Analysis.	EJC	2009	DBLP DOI BibTeX RDF
1	Fernanda L. Minku, Xin Yao	Using diversity to handle concept drift in on-line learning.	IJCNN	2009	DBLP DOI BibTeX RDF
1	Jorn Bakker, Mykola Pechenizkiy, Indre Zliobaite, Andriy Ivannikov, Tommi Kärkkäinen	Handling outliers and concept drift in online mass flow prediction in CFB boilers.	KDD Workshop on Knowledge Discovery from Sensor Data	2009	DBLP DOI BibTeX RDF
1	Jayalath Ekanayake, Jonas Tappolet, Harald Gall, Abraham Bernstein	Tracking concept drift of software projects using defect prediction quality.	MSR	2009	DBLP DOI BibTeX RDF
1	Angelos Stavrou, Gabriela F. Cretu-Ciocarlie, Michael E. Locasto, Salvatore J. Stolfo	Keep your friends close: the necessity for updating an anomaly sensor with legitimate environment changes.	AISec	2009	DBLP DOI BibTeX RDF	anomaly detection, concept drift, model update
1	Jack Chongjie Xue, Gary M. Weiss	Quantification and semi-supervised classification methods for handling changes in class distribution.	KDD	2009	DBLP DOI BibTeX RDF	class distribution, classification, semi-supervised learning, concept drift, quantification
1	Wei Qu, Yang Zhang, Junping Zhu, Qiang Qiu	Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble.	ACML	2009	DBLP DOI BibTeX RDF	Binary Relevance, Dynamic Classifier Ensemble, Data Stream, Concept Drift, Multi-label
1	Elena Ikonomovska, João Gama, Raquel Sebastião, Dejan Gjorgjevik	Regression Trees from Data Streams with Drift Detection.	Discovery Science	2009	DBLP DOI BibTeX RDF	data stream, change detection, concept drift, regression trees, stream data mining
1	Pei-Pei Li, Xuegang Hu, Qianhui Liang, Yunjun Gao	Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees.	MLDM	2009	DBLP DOI BibTeX RDF	Ensemble Decision Trees, Data Streams, Noise, Concept Drift
1	Pin Zhang, Juhua Pu, Yongli Liu, Zhang Xiong	A Probabilistic Approach for Mining Drifting User Interest.	APWeb/WAIM	2009	DBLP DOI BibTeX RDF	Incremental Learning, Concept Drift, Interest Model
1	Ioannis Katakis, Grigorios Tsoumakas, Evangelos Banos, Nick Bassiliades, Ioannis P. Vlahavas	An adaptive personalized news dissemination system.	J. Intell. Inf. Syst.	2009	DBLP DOI BibTeX RDF	News filtering, Dynamic feature space, Ontology, Personalization, Text classification, Concept drift
1	Rimma V. Nehme, Elke A. Rundensteiner, Elisa Bertino	Self-tuning query mesh for adaptive multi-route query processing.	EDBT	2009	DBLP DOI BibTeX RDF