Computational Process of the Exploratory Analysis Component
A Computational Framework for Exploratory Data Analysis
... Method Comp. Time (s) E 0 min(E 0 ) σ(E 0 ) Isomap 468 1.851 · 10 5 1.319 · 10 5 0.384 · 10 5 LLE 11600 3.681 · 10 5 1.776 · 10 5 1.267 · 10 5 PCA 0.3 2.216 · 10 5 1.279 · 10 5 0.608 · 10 5 XOM 4.6 1.732 · 10 5 1.426 · ...
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Group-Wise Principal Component Analysis for Exploratory Data Analysis
... r A new visualization proposed to inspect the groups of variables. This framework has a number of advantages in the context of EDA. First, parameter setting can be easily made through inter- active data visualization and ...
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Group-Wise Principal Component Analysis for Exploratory Intrusion Detection
... unsupervised analysis on data collected from the network and end systems, in order to identify singular ...Principal Component Analysis (PCA) provided promising results in the ...in ...
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A Common Neural Network Model for Unsupervised Exploratory Data Analysis and Independent Component Analysis
... unsupervised exploratory data analysis and data ...for exploratory data analysis and an empirical comparison is made with the recently proposed Generative Topographic Mapping (GTM) and ...
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Computational intelligence and transient thermal analysis methods for exploratory analysis of source air quality
... (3) Prediction errors of the AQP model. The accuracy of the artificial neural network AQP model depends on the completeness of the data set and availability of various model input factors that significantly affect ...
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Toward Quantitative Process Management With Exploratory Data Analysis
... unreasonable practice if the number of defects reported in the inspections has ever been used in a performance appraisal). This, too, can lead to a mix of pre-reviewed/not pre- reviewed data that will increase ...
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Reducing Computational Time of Principal Component Analysis with Chinese Remainder Theorem
... Reducing Computational Time of Principal Component Analysis with Chinese Remainder ...Principal Component Analysis (PCA) which is one of the foremost methods for feature extraction and ...
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Advancement Is Independent Component Analysis Speech Enhancement Process
... a process of increasing the quality, intelligibility of the speech signal which is one ...enhancement process is going to be perform by using sub band decomposition method under low and high pass filter ...
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Component-based Development Process and Component Lifecycle
... realistic process is shown in Figure ...development process in more detail. Requirements analysis and ...a component-based approach this implies that it is necessary to ana- lyze whether these ...
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Analysis of the quality of the welding process in the exchange of component of BGA technology
... welding process of a component of BGA technology, after the change of this component in PCI’s MB of Laptop in a company of the Industrial Pole of Manaus ...the process problems because the ...
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Comparison of two exploratory data analysis methods for fmri: fuzzy clustering vs. principal component analysis
... clustering analysis (FCA) and Principal component analysis (PCA) may be considered as hypothesis-generating procedures that are complementary to the hypothesis-led statistical inferential methods in ...
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Comparison of three computational procedures for solving the number of factors problem in exploratory factor analysis
... demonstrated that, on average, the latent roots extracted from normally distributed random data will be greater than unity for half of the total number of roots, simply due to the effects of sampling. This fact alone ...
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Software, Component, and Service Deployment in Computational Grids
... discovery process must be designed in such a way that only authen- ticated users may know the existence or the properties of the ...the component, the user must be able to judge its functionality and ...
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7 Component-based Development Process and Component Lifecycle
... the component-based development processes we shall use the Waterfall model - the simplest one – but the illustration can be relatively simply be applied for other development ...Specification, Analysis ...
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Principal component analysis aided statistical process optimisation (PASPO) for process improvement in industrial refineries
... of Process Variables on Principal Components Having the critical PC decoupled into process variables, some highly significant peaks are observed to highly contribute to the processing ...
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Policy analysis of the implementation process of the safe motherhood training component in Botswana
... The PMTCT of HIV during antenatal care was championed as one of the key areas of the 2005 revised SMI policy guidelines. This was a programme which aimed at providing anti- retroviral treatment to HIV positive pregnant ...
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State-space independent component analysis for nonlinear dynamic process monitoring
... It is worth to note that the CVA approach adopted in this work is able to cope with certain level of nonlinearities due to the use of the KDE to determine the UCL [17]. Moreover, the superiority of the CVA over the DICA ...
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An Exploratory Study of Computational Challenges in Industrial Grouping Problems
... II. R ESEARCH M ETHODOLOGY Fig. 1 provides a summary of the research methodology followed in this study. In the first phase of the study, a wide literature search survey was conducted, exploring recent case studies of ...
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Particokinetics: computational analysis of the superparamagnetic iron oxide nanoparticles deposition process
... agglomerates, computational modeling, cellular labeling, magnetic resonance imaging Introduction Efficient internalization of nanoparticles of diverse sizes and shapes continues to be studied widely at a molecular ...
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Experimental validation as an integral component of computational fluid dynamics
... field analysis using laser measurement techniques such as lda or piv, cfd proved to be an essential tool in analyzing and understanding the experimen- tal results, leading to a much improved approach to aspects of ...
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