Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques.
Sign Up to like & getrecommendations! Published in 2017 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-6613-4_17
Abstract: This chapter introduces a new method for knowledge extraction from databases for the purpose of finding a discriminative set of features that is also a robust set for within-class classification. Our method is generic and… read more here.
Keywords: feature; breast cancer; optimal feature; feature set ... See more keywords
A new optimal feature selection algorithm for classification of power quality disturbances using discrete wavelet transform and probabilistic neural network
Sign Up to like & getrecommendations! Published in 2017 at "Measurement"
DOI: 10.1016/j.measurement.2016.10.013
Abstract: Automatic classification of Power Quality Disturbances (PQDs) is a challenging concern for both the utility and industry. In this paper, a novel technique of automatic classification of single and hybrid PQDs is proposed. The proposed… read more here.
Keywords: optimal feature; feature selection; feature; selection ... See more keywords
Optimal Feature Selection for Big Data Classification: Firefly with Lion-Assisted Model
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DOI: 10.1089/big.2019.0022
Abstract: In this article, the proposed method develops a big data classification model with the aid of intelligent techniques. Here, the Parallel Pool Map reduce Framework is used for handling big data. The model involves three… read more here.
Keywords: big data; classification; feature; feature selection ... See more keywords
Plant Leaf Classification and Comparative Analysis of Combined Feature Set Using Machine Learning Techniques
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DOI: 10.18280/ts.380603
Abstract: The main purpose of this research work is to apply machine learning and image processing techniques for plant classification efficiently. In the plant classification system, the conventional method is time-consuming and needs to apply expensive… read more here.
Keywords: classification; feature set; plant; optimal feature ... See more keywords
Adaptive Salp Swarm Algorithm as Optimal Feature Selection for Power Quality Disturbance Classification
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DOI: 10.3390/app11125670
Abstract: Power quality disturbance (PQD) is an influential situation that significantly declines the reliability of electrical distribution systems. Therefore, PQD classification is an important process for preventing system reliability degradation. This paper introduces a novel algorithm… read more here.
Keywords: classification; system; feature selection; power quality ... See more keywords