Conservative Noise Filters

Abstract

Noisy training data have a huge negative impact on machine learning algorithms. Noise-filtering algorithms have been proposed to eliminate such noisy instances. In this work, we empirically show that the most popular noise-filtering algorithms have a large False Positive (FP) error rate. In other words, these noise filters mistakenly identify genuine instances as outliers and eliminate them. Therefore, we propose more conservative outlier identification criteria that improve the FP error rate and, thus, the performance of the noise filters. With the new filter, an instance is eliminated if and only if it is misclassified by a mutual decision of Naïve Bayesian (NB) classifier and the original filtering criteria being used. The number of genuine instances that are incorrectly eliminated is reduced as a result, thereby improving the classification accuracy.

Authors and Affiliations

Mona M. Jamjoom, Khalil El Hindi

Keywords

Related Articles

Improved Echo cancellation in VOIP

VoIP (voice over internet protocol) is very popular communication technology of this century and has played tremendous role in communication system. It is preferred by all because it deploys many benefits it uses Interne...

Voice Pathology Recognition and Classification using Noise Related Features

Nowadays, the diseases of the voice increase because of bad social habits and the misuse of voice. These pathologies should be treated from the beginning. Indeed, it is no longer necessary that the diseases of the voice...

Evaluating Confidentiality Impact in Security Risk Scoring Models

Risk scoring models assume that confidentiality evaluation is based on user estimations. Confidentiality evaluation incorporates the impacts of various factors including systems' technical configuration, on the processes...

SHPIS: A Database of Medicinal Plants from Saudi Arabia

Many studies in the past have revealed the use of the indigenous medicinal plant for the treatment of various diseases in Saudi Arabia. However, the details of these indigenous essential medicinal herbs and their therape...

Fuzzy Logic Energy Management Strategy of a Hybrid Renewable Energy System Feeding a Typical Tunisian House

This paper proposes an energy management strategy for hybrid power system HPS which is composed of a photovoltaic generator, wind turbine, fuel cell generator and NaS battery storage device, feeding a type house. This st...

Download PDF file
  • EP ID EP101638
  • DOI 10.14569/IJACSA.2016.070548
  • Views 102
  • Downloads 0

How To Cite

Mona M. Jamjoom, Khalil El Hindi (2016). Conservative Noise Filters. International Journal of Advanced Computer Science & Applications, 7(5), 354-360. https://europub.co.uk./articles/-A-101638