Search Results - evolution ((((classification techniques) OR (classification technique))) OR (computing techniques))
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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A review of homogenous ensemble methods on the classification of breast cancer data
Published 2024“…Data mining is a concept established by computer scientists to lead a secure and reliable classification and deduction of data. …”
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Email spam classification based on deep learning methods: A review
Published 2025“…Deep learning has become a potent collection of techniques for addressing intricate issues such as spam classification in recent times. …”
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Stock market turning points rule-based prediction / Lersak Photong … [et al.]
Published 2021“…Results show that the best feature selection is term frequency and trimming of the feature with a frequency greater than 95%. The best news classification approach is based on Deep Learning techniques that provide the most accurate classification. …”
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Classification with degree of importance of attributes for stock market data mining
Published 2004“…We present another modification of fuzzy decision tree (FDT) classification techniques that aims to combine symbolic decision trees in data classification with approximate reasoning offered by fuzzy representation. …”
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Object detection and classification using few-shot learning in smart agriculture: A scoping mini review
Published 2022“…Its evolution over the previous two decades can be seen as the pinnacle of computer vision advancement. …”
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Multi-tier classification based on sentiment, type, emotion and purpose for online diabetes community / Wandeep Kaur Ratan Singh
Published 2020“…The proposed framework was able to improve overall classification accuracy within each of its tiers and using a multi-tier framework, it was able to remove posts that do not contribute towards classification within the upper layers thus contributing to a more refined dataset for classification within its lower tiers. …”
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Cloud Worm Detection and Response Technique By Integrating The Enhanced Genetic Algorithm An Threat Level
Published 2024thesis::doctoral thesis -
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Assessment of river plan change using RS and GIS technique
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Stacking with recursive feature elimination-isolation forest for classification of diabetes mellitus
Published 2024“…It is prevalent to control this problem, as diabetes can lead to many health complications. As evolution happens, humankind starts integrating computer technology with the healthcare system. …”
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Stacking with recursive feature elimination-isolation forest for classification of diabetes mellitus
Published 2024“…It is prevalent to control this problem, as diabetes can lead to many health complications. As evolution happens, humankind starts integrating computer technology with the healthcare system. …”
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Analysis on target detection and classification in LTE based passive forward scattering radar
Published 2016“…By utilizing the forward scattering technique and procedure into the specific mode of PBR can provide an improvement in target detection and classification. …”
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Data fusion technique using wavelet transform and taguchi methods for automatic landslide detection from airborne laser scanning data and QuickBird satellite imagery
Published 2016“…The Taguchi technique was employed to optimize the segmentation parameters, whereas the rule-based technique was used for object-based classification. …”
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Artificial neural network learning enhancement using Artificial Fish Swarm Algorithm
Published 2011“…Artificial Neural Network (ANN) is a new information processing system with large quantity of highly interconnected neurons or elements processing parallel to solve problems.Recently, evolutionary computation technique, Artificial Fish Swarm Algorithm (AFSA) is chosen to optimize global searching of ANN.In optimization process, each Artificial Fish (AF) represents a neural network with output of fitness value.The AFSA is used in this study to analyze its effectiveness in enhancing Multilayer Perceptron (MLP) learning compared to Particle Swarm Optimization (PSO) and Differential Evolution (DE) for classification problems.The comparative results indeed demonstrate that AFSA show its efficient, effective and stability in MLP learning.…”
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Profiling patterns in healthcare using an ensemble model framework to predict employee health risks
Published 2024“…In the current evolution of the digital world, data has become the cornerstone of decision-making processes, shaping industries and societies alike. …”
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Data mining in computer auditing / Hiromi Wong, Siew Lan and Valery Fred Lee
Published 2004“…The report will cover the literature review that started with an introduction to computer auditing, introduction to data mining, data mining techniques (classification, neural network and sequential analysis), and the existing data mining software. …”
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