Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: Concept drift detection for streaming data
DDD: A New Ensemble Approach for Dealing with Concept Drift
Reacting to Different Types of Concept Drift: The Accuracy Updated Ensemble Algorithm
How good is the Electricity benchmark for evaluating concept drift adaptation
Change detection in streaming data in the era of big data: models and issues
Time Series Forecasting in the Presence of Concept Drift: A PSO-based Approach
Adaptive Malicious URL Detection: Learning in the Presence of Concept Drifts
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams
Nonparametric Detection of Anomalous Data Streams
Unsupervised real-time anomaly detection for streaming data
Dealing with Concept Drift and Class Imbalance in Multi-Label Stream Classification
AnyOut: anytime outlier detection on streaming data
Incremental Learning From Stream Data
Approaches to adversarial drift
Real-Time Anomaly Detection for Streaming Analytics
Evaluation methods and decision theory for classification of streaming data with temporal dependence
A Drift Detection Method Based on Active Learning
Anomaly Detection Algorithms on IBM InfoSphere Streams: Anomaly Detection for Data in Motion
KNN Classifier with Self Adjusting Memory for Heterogeneous Concept Drift
Anomaly detection and classification for streaming data using PDEs
Adaptive Anomaly Detection in Performance Metric Streams
Invasive vaginal carcinoma: analysis of early-stage disease.
On the design of mismatched filters with an adjustable matched filtering loss
Learning a symbolic representation for multivariate time series classification
Design of Multiplate Back-Reflector for a Wideband Slot Antenna
mining high - speed data streams .