Search Results - (( deviation selection 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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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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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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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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Determination the smoothing constant that minimizes mean absolute error and mean square deviation
Published 2021“…This paper discusses the selection of the optimal smoothing constant value which minimizes the mean square error (MSE) and the mean absolute deviation (MAD). …”
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Conference or Workshop Item -
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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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An empirical comparison of meta analysis models for continuous data with missing standard deviations
Published 2011“…When the study-level standard deviations (SDs) are not completely reported or are “missing” selection of a meta analysis model should be done with more caution. …”
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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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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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14
Dynamic Robust Bootstrap Algorithm for Linear Model Selection Using Least Trimmed Squares
Published 2009“…In this respect, we propose to incorporate our proposed DRBLTS in the bootstrap model selection technique. We also proposed to use an alternative robust location and scale estimates which are less affected by outliers instead of using the classical mean and classical standard deviation. …”
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15
Deviation and mobility in female characters stimulated through ‘structure of feeling’ in selected American novels
Published 2015“…I also show the different genres and techniques the authors employ in order to come out with a developed female character. …”
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Stereo Vision Using Compensation Technique For Improvement Of Distance Measurement Accuracy For Robot Arm Applications
Published 2012“…However, after compensation technique is performed, the mean and standard deviation of error for the z coordinates are reduced to -0.12 cm and 0.16 cm, respectively. …”
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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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Optimal Reactive Power Dispatch Solution by Loss Minimization Using Moth-Flame Optimization Technique
Published 2017“…The statisticalanalysis of this research illustrated that MFO is able to produce competitive results by yielding lowerpower loss and lower voltage deviation than the selected techniques from literature.…”
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Neural Network Model and Finite Element Simulation of Spring back in Plane-Strain Metallic Beam Bending
Published 2006“…This research utilizes computer generated D-optimal designs to select training examples for both metamodeling techniques so that a comparison between the two techniques can be considered as fair. …”
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On selection of models for continuos meta analysis data with incomplete variability measures
Published 2011“…When the study-level standard deviations (SDs) are not completely reported or are “missing” selection of a meta analysis model should be done with more caution. …”
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