Real-Time Anomaly Detection from Environmental Data Streams

Sergio Trilles; Sven Schade; Óscar Belmonte; Joaquı́n Huerta

doi:10.1007/978-3-319-16787-9_8

ScienceGate Book Chapters

BOOK-CHAPTER

Real-Time Anomaly Detection from Environmental Data Streams

Sergio Trilles Sven Schade Óscar Belmonte Joaquı́n Huerta

Year: 2015 Lecture notes in geoinformation and cartography Pages: 125-144 Publisher: Springer Nature

DOI: 10.1007/978-3-319-16787-9_8

Get Full-Text PDF Get Analytical Report

Keywords:

Anomaly detection CUSUM Computer science Data stream mining Big data Scalability Wireless sensor network Data science Real-time computing Data mining Distributed computing Engineering Database

Metrics

Cited By

8.70

FWCI (Field Weighted Citation Impact)

Refs

0.97

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Advanced Statistical Process Monitoring

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Real-Time Anomaly Detection from Environmental Data Streams

Metrics

Citation History

Topics

Related Documents

Real-Time Outlier (Anomaly) Detection Over Data Streams

Real-time High Performance Anomaly Detection over Data Streams

Real-Time Sentiment-Based Anomaly Detection in Twitter Data Streams

Survey on Real-time Anomaly Detection Technology for Big Data Streams

An ML Based Anomaly Detection System in real-time data streams