Instruct: Given a paper title, retrieve paper titles that are cited by the given paper.
Query: NEW TOOL FOR VISUALIZATION OF TIME SERIES AND ANOMALIES IN STREAMING DATA
Visually mining and monitoring massive time series
Anomaly detection model based on data stream clustering
Outlier detection in graph streams
Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data
Investigating Time Series Visualisations to Improve the User Experience
RS-Forest: A Rapid Density Estimator for Streaming Anomaly Detection
Anomaly Detection in Real-Valued Multidimensional Time Series
Importance-Driven Time-Varying Data Visualization
A Visual Analytics Approach to Multiscale Exploration of Environmental Time Series
Tracking Time Evolving Data Streams for Short-Term Traffic Forecasting
StatStream: Statistical Monitoring of Thousands of Data Streams in Real Time
Data Flow Anomaly Detection
Anomaly Detection in Time Series Data Based on Holt-Winters Method
Sketching distributed sliding-window data streams
Exact variable-length anomaly detection algorithm for univariate and multivariate time series
Complex event analytics: online aggregation of stream sequence patterns
CHAOS: A Data Stream Analysis Architecture for Enterprise Applications
A systematic evaluation approach for data stream-based applications
Animated narrative visualization for video clickstream data
Root-cause Analysis for Time-series Anomalies via Spatiotemporal Graphical Modeling in Distributed Complex Systems
P2Cast: peer-to-peer patching scheme for VoD service
NeuroEvolution : The Importance of Transfer Function Evolution and Heterogeneous Networks
Random sampling techniques for space efficient online computation of order statistics of large datasets
Fe b 20 04 A Diquark-Triquark Model for the KN Pentaquark
A connectionist theory of phenomenal experience