Search Results - (( evolution evaluation techniques ) OR ( evolution mining techniques ))
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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 -
2
Accelerator-based human activity recognition using voting technique with NBTree and MLP classifiers
Published 2023“…To evaluate the proposed voting technique, the performance of selected individual classifiers and existing voting technique was first examined, followed by the experiment to determine the performance of the proposed model. …”
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Application of data mining techniques for economic evaluation of air pollution impact and control
Published 2007“…For that purpose, we use data mining techniques. Data mining techniques applied in this thesis were: 1) Group method of data handling (GMDH), originally from engineering, introducing principles of evolution - inheritance, mutation and selection - for generating a network structure systematically to develop the automatic model, synthesis, and its validation; 2) The weighted least square (WLS) and step wise regression were also applied for some cases; 3) The classification-based association rules were applied. …”
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Thesis -
4
Erosion corrosion and tribological behavior of TIG torch composite layers
Published 2016“…Among the coating techniques, tungsten inert gas (TIG) torch melting technique is currently gaining wide acceptance in surface coating of engineering part component for tribological use. …”
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Monograph -
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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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Thesis -
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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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Article -
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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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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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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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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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On fractional and semi-soft handover in long term evolution(LTE) networks
Published 2011“…In this paper a hybrid HO algorithms called semi-soft handover (SSHO) and fractional soft handover (FSHO) in long term evolution (LTE) system are studied. The outage probability, the main metric to evaluate handover, is compared for different handover techniques.…”
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Conference or Workshop Item -
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Dynamic risk analysis on process safety: a review of the evolution, approach, and advantages in the industry / Nurul Hazira Zizemurikan
Published 2022“…Dynamic risk assessment is a scientific technique for identifying hazards, evaluating risk, and appraising the working environment. …”
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Student Project -
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Decomposition–based multi-objective differential evolution for extractive multi-document automatic text summarization
Published 2024“…Through experimentation on Document Understanding Conferences (DUC) datasets, the novel approach of MODE/D – WS is validated by evaluating the results using ROUGE metrics. The outcomes are twofold: a remarkable reduction in serial execution time and a noteworthy enhancement over existing techniques in the scholarly domain, as evidenced by improved ROUGE-1, ROUGE-2, and ROUGE-L scores.…”
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Two level Differential Evolution algorithms for ARMA parameters estimatio
Published 2013“…The performance of the algorithm is evaluated using both simulated ARMA models and practical rotary motion system. …”
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Proceeding Paper -
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Suspicious online car advertisement detector using principle component analysis (PCA) / Fathiah Husna Firdaus
Published 2019“…Hence, this study is to propose suspicious advertisement detector by using data mining technique which is Principal Component Analysis (PCA). …”
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Thesis -
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Performance analysis of coordinated multipoint (CoMP) in long term evolution-advanced
Published 2014“…Coordinated Multipoint (CoMP) is a new technique introduced in Long Term Evolution-Advanced (LTE-A) to address the inter-cell interference especially the one experienced by cell-edge user. …”
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Conference or Workshop Item -
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Broadening selection competitive constraint handling algorithm for faster convergence
Published 2020“…The median convergence traces have been compared with two different algorithms based on differential evolution, i:e: Ensemble of Constraint Handling Techniques (ECHT) and Stochastic Ranking Differential Evolution (SRDE). …”
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