Search Results - (( evolution detection techniques ) OR ( evolution mining techniques ))
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Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee
Published 2004“…This evolution provokes the emergence of data mining tools, which perform data analysis and extract data patterns. …”
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2
Classification of Immunosignature Using Random Forests for Cancer Diagnosis
Published 2015“…To attain this essential research purpose, a minimum set of genes that can assure higher performance in classification using data mining algorithms need to be detected. The evolution of authoritative immunofingerprint mining technology is exerting a growing influence on comprehensive cancer diagnosis biology. …”
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Proceeding Paper -
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Overview and future opportunities of sentiment analysis approaches for big data
Published 2016“…The contribution of this paper is two-fold: (i) this study reviews the state of the art of SA approaches. including sentiment polarity detection, SA features (explicit and implicit), sentiment classification techniques and applications of SA and (ii) this study reviews the suitability of SA approaches for application in the big data frameworks, as well as highlights the gaps and suggests future works that should be explored. …”
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Article -
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A Detection Method for Text Steganalysis Using Evolution Algorithm (EA) Approach
Published 2012“…Therefore, this research employed a detection factor based on the evolution algorithm method for text steganalysis. …”
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Development of an islanding detection scheme based on combination of slantlet transform and ridgelet probabilistic neural network in distributed generation
Published 2019“…Results show that the proposed method is able to detect islanding conditions with 100% accuracy, 100% detection rate and 0% false alarm with detection time of less than 0.19s. …”
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Global Trends of Educational Data Mining in Online Learning
Published 2023“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…This technique reinforced the use of multiple classifiers in the model. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…This technique reinforced the use of multiple classifiers in the model. …”
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Metric-based code smell detection technique for python software
Published 2018“…The first phase involves reviewing the literatures on code smells detection techniques, parser models, and code smells in Python software. …”
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10
A new modified differential evolution algorithm scheme-based linear frequency modulation radar signal de-noising
Published 2015“…The main intention of this study was to investigate the development of a new optimization technique based on the differential evolution (DE) algorithm, for the purpose of linear frequency modulation radar signal de-noising. …”
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Article -
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Performance analysis of spectrum sensing methods: A numerical approach
Published 2023“…Errors; Femtocell; Heterogeneous networks; Intelligent systems; Monte Carlo methods; Numerical methods; Orthogonal frequency division multiplexing; Critical challenges; HetNeT; Numerical approaches; Orthogonal frequency division multiplexing systems; Performance analysis; Spectrum; Spectrum detection; Spectrum sensing techniques; Long Term Evolution (LTE)…”
Conference Paper -
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Representation Of Rational Bézier Quadratics Using Genetic Algorithm, Differential Evolution And Particle Swarm Optimization
Published 2013“…Three soft computing techniques namely Genetic Algorithm (GA), Differential Evolution (DE) and Particle Swarm Optimization (PSO) are utilized for the desired manipulation of curves and surfaces. …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…Many statistical and data mining techniques have been used to predict time series stock market. …”
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Critical review of object detection techniques for traffic light detection in intelligent transportation systems
Published 2025“…This study provides a critical review of object detection techniques specifically for traffic light detection, evaluating the evolution of machine learning frameworks, deep learning architectures, and hybrid optimization models. …”
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Article -
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A New Hybrid K-Means Evolving Spiking Neural Network Model Based on Differential Evolution
Published 2018“…Clustering is one of the essential unsupervised learning techniques in Data Mining. In this paper, a new hybrid (K-DESNN) approach to combine differential evolution and K-means evolving spiking neural network model (K-means ESNN) for clustering problems has been proposed. …”
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Book Chapter -
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Global trends of educational data mining in online learning
Published 2023“…Educational data mining (EDM) in online learning involves data mining techniques to analyze data from online environments to gain insights into student behavior, performance, and engagement. …”
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Lattice Sphere Detection Techniques In Block Data Transmission And Multiuser Wireless Systems
Published 2013“…Sequentially, this research proposed a new detection technique which called as a near-An-LSD technique. …”
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A review of the antipatterns detection approaches in object-oriented design
Published 2013“…Design pattern detection is a useful technique for gaining knowledge on the design issues of existing systems and improves the system's comprehension, which consequently enhance the software maintainability, reusability, and evolution. …”
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