Characteristics and classification of outlier detection techniques for wireless sensor networks in harsh environments: a survey
Wireless sensor networks (WSNs) have received considerable attention for multiple types of
applications. In particular, outlier detection in WSNs has been an area of vast interest …
applications. In particular, outlier detection in WSNs has been an area of vast interest …
One-class support vector machines: analysis of outlier detection for wireless sensor networks in harsh environments
Abstract Machine learning, like its various applications, has received a great interest in
outlier detection in Wireless Sensor Networks. Support Vector Machines (SVM) are a special …
outlier detection in Wireless Sensor Networks. Support Vector Machines (SVM) are a special …
Evolving fuzzy rules for anomaly detection in data streams
Evolvable Takagi-Sugeno (TS) models are fuzzy-rule-based models with the ability to
continuously learn and adapt to incoming samples from data streams. The model adjusts …
continuously learn and adapt to incoming samples from data streams. The model adjusts …
Incremental elliptical boundary estimation for anomaly detection in wireless sensor networks
Wireless Sensor Networks (WSNs) provide a low cost option for gathering spatially dense
data from different environments. However, WSNs have limited energy resources that hinder …
data from different environments. However, WSNs have limited energy resources that hinder …
Change detection in streaming data in the era of big data: models and issues
Big Data is identified by its three Vs, namely velocity, volume, and variety. The area of data
stream processing has long dealt with the former two Vs velocity and volume. Over a decade …
stream processing has long dealt with the former two Vs velocity and volume. Over a decade …
Streaming analysis in wireless sensor networks
Two new incremental models for online anomaly detection in data streams at nodes in
wireless sensor networks are discussed. These models are incremental versions of a model …
wireless sensor networks are discussed. These models are incremental versions of a model …
Aircraft engine health monitoring using self-organizing maps
Aircraft engines are designed to be used during several tens of years. Ensuring a proper
operation of engines over their lifetime is therefore an important and difficult task. The …
operation of engines over their lifetime is therefore an important and difficult task. The …
New online personalized recommendation approach based on the perceived value of consumer characteristics
WEB 2.0 facilitates the bidirectional communication capabilities of online review, causing the
personalization and asymmetry of online review. Despite the problem of online personalized …
personalization and asymmetry of online review. Despite the problem of online personalized …
Visual mining and statistics for a turbofan engine fleet
J Lacaille, E Côme - 2011 Aerospace Conference, 2011 - ieeexplore.ieee.org
Snecma, as a turbofan manufacturer, needs to deal with a wide fleet of more than thousands
of engines. Every day, data from aircraft engines are broadcasted to the ground. Some …
of engines. Every day, data from aircraft engines are broadcasted to the ground. Some …
An evolving Takagi-Sugeno model based on aggregated trapezium clouds for anomaly detection in large datasets
Anomaly detection is an important task for applications involving Big Data. Comparing with
traditional method, anomaly detection in Big Data confronts growing amounts of data with …
traditional method, anomaly detection in Big Data confronts growing amounts of data with …