Search Strategies for Binary Feature Selection for a Naive Bayes Classifier

no code implementations • 12 Jun 2015 • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

We compare in this paper several feature selection methods for the Naive Bayes Classifier (NBC) when the data under study are described by a large number of redundant binary indicators.

feature selection General Classification

Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation

no code implementations • 18 Mar 2015 • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

Detecting early signs of failures (anomalies) in complex systems is one of the main goal of preventive maintenance.

Anomaly Detection feature selection +1

Anomaly Detection Based on Indicators Aggregation

no code implementations • 16 Sep 2014 • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

Automatic anomaly detection is a major issue in various areas.

Anomaly Detection feature selection

A Methodology for the Diagnostic of Aircraft Engine Based on Indicators Aggregation

no code implementations • 26 Aug 2014 • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

Aircraft engine manufacturers collect large amount of engine related data during flights.

Anomaly Detection

Anomaly Detection Based on Aggregation of Indicators

no code implementations • 3 Jul 2014 • Tsirizo Rabenoro, Jérôme Lacaille, Marie Cottrell, Fabrice Rossi

Automatic anomaly detection is a major issue in various areas.

Anomaly Detection feature selection