- On the Impact of Temporal Concept Drift on Model Explanations
2022/10/17 by Zhixue Zhao, Zhao, Zhixue, George Chrysostomou +5 · 2 citations
Computer Science · Decision Sciences · Psychology · #Artificial Intelligence (cs.AI) #Artificial intelligence #Asynchronous communication #Attribution #Computation and Language (cs.CL) #Computer science #Concept drift #Data Stream Mining Techniques #Data stream mining #FOS: Computer and information sciences #Feature (linguistics) #Machine Learning (cs.LG) #Machine learning #Psychology #Social psychology #Stock Market Forecasting Methods #Topic Modeling #Variation (astronomy)
- "Flux+Mutability": A Conditional Generative Approach to One-Class Classification and Anomaly Detection
2022/04/19 by C. Fanelli, Fanelli, C., James Giroux +3 · 1 citation
Biochemistry, Genetics and Molecular Biology · Computer Science · Physics and Astronomy · #Anomaly (physics) #Anomaly detection #Artificial intelligence #Class (philosophy) #Cluster analysis #Computational Physics and Python Applications #Computer science #Concept drift #Data Analysis #Data mining #Data stream mining #FOS: Computer and information sciences #FOS: Physical sciences #Fractal and DNA sequence analysis #High Energy Physics - Experiment (hep-ex) #Inference #Machine Learning (cs.LG) #Machine learning #Nuclear Experiment (nucl-ex) #Particle physics #Particle physics theoretical and experimental studies #Physics #Statistics and Probability (physics.data-an)
- A Drift Aware Hierarchical Test Based Approach for Combating Social Spammers in Online Social Networks
2021/01/01 by Darshika Koggalahewa, Yue Xu, Ernest Foo · 1 citation
Computer Science · #Artificial intelligence #Computer science #Concept drift #Data Stream Mining Techniques #Data mining #Feature (linguistics) #Machine learning #Majority rule #Network Security and Intrusion Detection #Set (abstract data type) #Spam and Phishing Detection #Task (project management)
- Challenges in Benchmarking Stream Learning Algorithms with Real-world Data
2020/05/31 by Vinicius M. A. Souza, Denis M. dos Reis, André G. Maletzke +2 · 1 citation
Computer Science · Mathematics · #Benchmark (surveying) #Benchmarking #Concept drift #Data Stream Mining Techniques #Data quality #Data stream #Data stream mining #Imbalanced Data Classification Techniques #Quality (philosophy) #Time Series Analysis and Forecasting #acm:68T05 #cs.LG #msc:68T05 #stat.ML
- Learning under Concept Drift: A Review
2018/01/01 by Jie Lu, Anjin Liu, Fan Dong +3 · 1 citation
Computer Science · Engineering · Mathematics · #Benchmark (surveying) #Concept drift #Data Stream Mining Techniques #Development (topology) #Domain Adaptation and Few-Shot Learning #Field (mathematics) #Innovative Microfluidic and Catalytic Techniques Innovation #Quality (philosophy) #Streaming data #cs.LG #stat.ML
- Ensemble learning for data stream analysis: A survey
2017/02/03 by Bartosz Krawczyk, Leandro L. Minku, João Gama +2 · 3 citations
Computer Science · #Anomaly Detection Techniques and Applications #Artificial intelligence #Computer science #Concept drift #Data Stream Mining Techniques #Data mining #Data stream #Data stream mining #Ensemble learning #Machine learning #Novelty #Novelty detection #Process (computing) #Streaming data #Time Series Analysis and Forecasting
- Credit card fraud detection and concept-drift adaptation with delayed supervised information
2015/07/01 by Andrea Dal Pozzolo, Giacomo Boracchi, Olivier Caelen +2 · 1 citation
Computer Science · Business, Management and Accounting · #Imbalanced Data Classification Techniques #Data Stream Mining Techniques #Financial Distress and Bankruptcy Prediction #Computer science #Credit card fraud #Concept drift #Credit card #Payment #Set (abstract data type) #Class (philosophy) #Adaptation (eye) #Machine learning #Artificial intelligence #Supervised learning #Sliding window protocol #Window (computing) #Data stream mining #World Wide Web
- A survey on concept drift adaptation
2014/03/01 by João Gama, Indrė Žliobaitė, Albert Bifet +2 · 8 citations
Computer Science · Engineering · #Data Stream Mining Techniques #Spam and Phishing Detection #Innovative Microfluidic and Catalytic Techniques Innovation #Concept drift #Computer science #Categorization #Adaptation (eye) #Relation (database) #Set (abstract data type) #Machine learning #Artificial intelligence #Adaptive learning #Variable (mathematics) #Data science #Data mining #Data stream mining
- Chemical gas sensor drift compensation using classifier ensembles
2012/03/01 by Alexander Vergara, Shankar Vembu, Tuba Ayhan +5 · 2 citations
Agricultural and Biological Sciences · Engineering · #Advanced Chemical Sensor Technologies #Artificial intelligence #Classifier (UML) #Compensation (psychology) #Computer science #Concept drift #Data mining #Gas Sensing Nanomaterials and Sensors #Insect Pheromone Research and Control #Machine learning #Pattern recognition (psychology) #Sensor array #Support vector machine
- Incremental Learning of Concept Drift in Nonstationary Environments
2011/08/15 by Ryan Elwell, Robi Polikar · 1 citation
Computer Science · Decision Sciences · #Data Stream Mining Techniques #Advanced Bandit Algorithms Research #Machine Learning and Data Classification #Concept drift #Computer science #Classifier (UML) #Novelty #Voting #Artificial intelligence #Machine learning #Benchmarking #Data mining #Data stream mining
- The Impact of Diversity on Online Ensemble Learning in the Presence of Concept Drift
2009/07/07 by Leandro L. Minku, A. P. White, Xin Yao · 3 citations
Computer Science · Decision Sciences · #Data Stream Mining Techniques #Advanced Bandit Algorithms Research #Machine Learning and Data Classification #Concept drift #Computer science #Categorization #Diversity (politics) #Artificial intelligence #Frequency drift #Machine learning #Telecommunications
- Adaptive Classifiers in Stationary Conditions
2007/08/01 by Cesare Alippi, Manuel Roveri · 1 citation
Computer Science · #Neural Networks and Applications #Machine Learning and Data Classification #Data Stream Mining Techniques #Classifier (UML) #Computer science #Supervisor #Artificial intelligence #Machine learning #Concept drift #Random subspace method #Adaptive learning #Data mining
- Learning with Drift Detection
2004/01/01 by João Gama, Pedro Medas, Gladys Castillo +2 · 9 citations
Computer Science · Mathematics · #Algorithm #Artificial intelligence #Artificial neural network #Computer science #Concept drift #Context (archaeology) #Data Stream Mining Techniques #Data stream mining #Decision tree #Imbalanced Data Classification Techniques #Machine Learning and Data Classification #Machine learning #Mathematics #Perceptron #Probability distribution #Sequence (biology) #Set (abstract data type) #Statistics #Word error rate
- A streaming ensemble algorithm (SEA) for large-scale classification
2001/08/26 by W. Nick Street, YongSeog Kim · 5 citations
Computer Science · #Data Stream Mining Techniques #Machine Learning and Data Classification #Anomaly Detection Techniques and Applications #Computer science #Boosting (machine learning) #Resampling #Machine learning #Decision tree #Artificial intelligence #Concept drift #Data mining #Ensemble learning #Scale (ratio) #Heuristic #Streaming data #Context (archaeology) #Statistical classification #Data stream mining
- Learning in the presence of concept drift and hidden contexts
1996/04/01 by Gerhard Widmer, Miroslav Kubát, Miroslav Kubat · 6 citations
Computer Science · Engineering · #Artificial intelligence #Computer science #Concept drift #Context (archaeology) #Data Stream Mining Techniques #Data stream mining #Engineering #Heuristic #Machine Learning and Algorithms #Machine Learning and Data Classification #Machine learning #Noise (video) #Reuse #Theoretical computer science
- Item Pool Maintenance in the Presence of Item Parameter Drift
1988/12/01 by R. Darrell Bock, Eiji Murakl, Will Pfeiffenberger · 3 citations
Computer Science · Decision Sciences · Mathematics · Psychology · #Advanced Statistical Modeling Techniques #Computer science #Concept drift #Curriculum #Differential (mechanical device) #Differential item functioning #Econometrics #Item response theory #Mathematics #Mathematics education #Pedagogy #Physics #Psychology #Psychometric Methodologies and Testing #Psychometrics #Reliability and Agreement in Measurement #Statistical hypothesis testing #Statistics