Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: Addressing Concept-Evolution in Concept-Drifting Data Streams
Mining concept-drifting data streams using ensemble classifiers
From Distributional Semantics to Conceptual Spaces: A Novel Computational Method for Concept Creation
Exploiting Multi-modal Curriculum in Noisy Web Data for Large-scale Concept Learning
Mining Data Streams : A Review
Evolutionary model building under streaming data for classification tasks: opportunities and challenges
Evaluation methods and decision theory for classification of streaming data with temporal dependence
A systematic evaluation approach for data stream-based applications
Data Streams: Models and Algorithms
Queries and Concept Learning
Resource-aware Knowledge Discovery in Data Streams
Hybrid Forest: A Concept Drift Aware Data Stream Mining Algorithm
Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification
Cost-Sensitive Perceptron Decision Trees for Imbalanced Drifting Data Streams
Evolving Fuzzy-Rule-Based Classifiers From Data Streams
ensemble learning for data stream analysis : a survey .
Models and issues in data stream systems
Activity Recognition with Evolving Data Streams: A Review
Leveraging bagging for evolving data streams
Knowledge Acquisition Via Incremental Conceptual Clustering
Active Learning from Data Streams
Psychopathy and instrumental aggression: Evolutionary, neurobiological, and legal perspectives
Dynamic Capacity Networks
On the texture profile analysis test
Classification and Regression Trees
CMA-TWEANN: efficient optimization of neural networks via self-adaptation and seamless augmentation