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Data Reduction and Analysis

Data reduction and analysis software for surface study techniques

Data reduction and analysis software for surface study techniques

... for data reduction and ...computer. Data collected from temperature programmed desorption (TPD) experiments was collected and stored into a data ...transferred data from a BASIC ...

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Title: Comparative Analysis of Data Reduction Model for Diabetes

Title: Comparative Analysis of Data Reduction Model for Diabetes

... the data more suitable for data ...the data set, the attribute selection is ...of data mining. The high dimension data makes testing and training of general classification methods ...

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Survey of Various Data Reduction Methods for Effective Bug Report Analysis

Survey of Various Data Reduction Methods for Effective Bug Report Analysis

... Keywords: Data Mining, Bug Data Reduction, Bug Report Analysis, Data Management in Bug ...INTRODUCTION Data mining has been introduced to the technically developing environment ...

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Analysis and interpretation of dynamic FDG PET oncological studies using data reduction techniques

Analysis and interpretation of dynamic FDG PET oncological studies using data reduction techniques

... nent analysis (PCA) [7,8], independent component anal- ysis (ICA) [9,10], and similarity mapping (SM) [11] techniques to reduce the initial volume of image data to a smaller and more comprehensive and ...

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Title: Comparative Analysis of Data Reduction Model for Credit Scoring

Title: Comparative Analysis of Data Reduction Model for Credit Scoring

... eligibility. Data mining has been demonstrated as a significant tool for credit ...a data mining model for credit scoring in bank keeping in mind the end goal to bolster and enhance the execution of the ...

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2. Observations and data reduction

2. Observations and data reduction

... line data for Mn ii computed by Kurucz were used to synthesize the ultraviolet spectrum of the slow-rotating, HgMn star HD ...abundance analysis of the star HD 175640, based on the comparison of observed ...

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Survey on Feature Selection for Data Reduction

Survey on Feature Selection for Data Reduction

... Keywords Data reduction, Feature selection, Filter, Wrapper, Embedded ...of data mining [2], pattern recognition [5, 68], Machine learning [49] it is obvious to deal with the learning algorithms or ...

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APEX Calibration and Data Reduction Manual

APEX Calibration and Data Reduction Manual

... For spectral heterodyne obeservations the calibration pipeline will produce CLASS files containing calibrated data. For Bolometer observations the APEX Calibrator will produce quicklook results by using certain ...

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Analysis of Dimensionality Reduction Techniques on Big Data

Analysis of Dimensionality Reduction Techniques on Big Data

... of data is being generated across several sectors such as healthcare, production, sales, IoT devices, Web, ...dimensionality reduction techniques, Linear Discriminant Analysis (LDA) and Principal ...

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Learning Analysis by Reduction from Positive Data

Learning Analysis by Reduction from Positive Data

... the analysis by reduction, we introduce syntactic reduction sys- ...syntactic reduction system is a tuple R = (Σ, Γ, ` R , L S ), where Σ is a finite nonempty input alphabet, Γ is a finite ...

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Predictive Analysis for Risk Reduction in Data Mining

Predictive Analysis for Risk Reduction in Data Mining

... their analysis out before any decisions to be made by the ...is data driven and has a scientific process behind it to analyze the data and provide models to test the What-If scenarios so Businesses ...

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Some dimension reduction strategies for the analysis of survey data

Some dimension reduction strategies for the analysis of survey data

... big data, researchers interested in developing statistical models are chal- lenged with how to achieve ...dimension reduction strategy is ...dimension reduction has emerged as an area of broad and ...

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Some Dimension Reduction Strategies for the Analysis of Survey Data

Some Dimension Reduction Strategies for the Analysis of Survey Data

... The analysis also developed a multilevel regression model, for which some of the standard estimation and inference proce- dures in those models can be applied [ 7 ...models—using data from the National ...

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A further reduction in CMS event data for analysis: the NANOAOD format

A further reduction in CMS event data for analysis: the NANOAOD format

... at analysis level At the end of Run 1, a new format reducing the event size by one order of magnitude with respect to AOD was designed, in order to increase the flexibility in handling the available computing ...

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Reduction of High Dimensional Data Using Discriminant Analysis Methods

Reduction of High Dimensional Data Using Discriminant Analysis Methods

... projection analysis of Cigar and Gutierrez-Osuna datasets whose dimensionalities were reduced via LDA and KDA ...result analysis, it is easily observed that LDA executes faster than KDA and it is important ...

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A Study of Dimensionality Reduction Techniques and its Analysis on Climate Data

A Study of Dimensionality Reduction Techniques and its Analysis on Climate Data

... of analysis that looks at the variability in the time evolving field of all spatial locations and breaks it into a few standing oscillations and a time series to go with each ...EOF analysis is used to find ...

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Model Based Data Transmission: Analysis of Link Budget Requirement Reduction

Model Based Data Transmission: Analysis of Link Budget Requirement Reduction

... the data transmis- sion requirements for transmitting model updates and the model and model updates, respectively, at various levels of model size and MGQ threshold ...

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Treelets A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data

Treelets A Tool for Dimensionality Reduction and Multi-Scale Analysis of Unstructured Data

... (noiseless) data as a function of its ...the analysis of unstructured ...the analysis of high-dimensional, unstructured and noisy data, as it typically appears in many modern applications ...

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A Survey of Dimension Reduction Methods for High-dimensional Data Analysis and Visualization

A Survey of Dimension Reduction Methods for High-dimensional Data Analysis and Visualization

... dimension reduction methods that focus on the various aspects of data ...high-dimensional data using dimension reduction and reviews select state-of-the-art methods that share this ...

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Autocorrelation Reduction and Consistency Analysis of Correlation for Human Brain Activity Data

Autocorrelation Reduction and Consistency Analysis of Correlation for Human Brain Activity Data

... academic fields. The autocorrelation and correlation problems in the time series of human brain activity have also become an important research direction. It is found that there are relative residuals in the time series ...

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