[PDF] Top 20 COSIMA data analysis using multivariate techniques
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COSIMA data analysis using multivariate techniques
... mensional data set into a reduced dimension which still re- tains the most important features of the original data but is small enough to be numerically ...our data set multiple times, we effectively ... See full document
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Machine learning in analytical chemistry: applying innovative data analysis methods using chromatographic techniques
... more data so it can find the best model. In chemistry, data augmentation techniques are now applied by adding drifts to the original data 110,111 ... See full document
81
WVIS 2014 - 5th Workshop on Visual Analytics, Information Visualization and Scientific Visualization
... of data analysis, such as spatial and temporal char- ...the analysis of datasets with spatial and temporal component that can help identify critical points that represent local behavior of certain ... See full document
32
Likelihood-based Inference for Multivariate Regression Models using Synthetic Data
... the multivariate linear regression model where there are multiple sensitive responses variables follow- ing a multivariate normal distribution with expected values modeled as linear combinations of multiple ... See full document
110
Multivariate analysis of marketing data - applications for bricolage market
... which, using various techniques, the analyzed objects (incentives) are represented by points in a multidimensional perceptual ...of analysis groups: while group analysis classifies objects ... See full document
10
Water quality index using multivariate factorial analysis
... Table 3 shows the breakdown of the correlation matrix, which, when conditioned upon the existing interrelations among original data, resulted in a reduction of space for observed variables translated by the common ... See full document
6
Geographic Spatiotemporal Dynamic Model using Cellular Automata and Data Mining Techniques
... applying data mining techniques. Three data mining techniques were applied, namely finding sequential patterns in the data, clustering analysis of the pattern, and classification ... See full document
9
A comparative analysis of classifiers in cancer prediction using multiple data mining techniques
... sensitivity analysis how each feature contributes for modelling breast ...on using real data from patients, which is usually not directly available to researchers, as it may pose confidentiality ... See full document
13
Analysis of Network Attacks and Security Events using Modern Data Visualization Techniques
... eld. Data visualization results normally in improved detection, correlation, classi cation and reporting of ...The data visualization technique used in the scope of this work (Circos) will be described in ... See full document
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SURVEY ON PREDICTION OF HEART MORBIDITY USING DATA MINING TECHNIQUES
... of data and presenting it in a form that is easily compressible to ...of data routinely collected. Data mining is most useful in an exploratory analysis scenario in which there are no ... See full document
21
Classifying and Identifying of Threats in E-mails - Using Data Mining Techniques
... classification techniques was limited because the large number of features makes most documents ...document analysis techniques, such as the \bag{of{words" representation more ... See full document
5
Feature Relevance Analysis and Classification of Road Traffic Accident Data through Data Mining Techniques
... In our research work we have classified the road traffic accidents based on injury severity using classification algorithms such as C4.5, CR-T, ID3, CS-CRT, CS-MC4, Naïve Bayes and Random Tree. We have also used ... See full document
6
Exploring sparse connectivity in the motor system using multivariate autoregression analysis
... To understand how perception, action, learning and memory work, we need to gather data from multiple levels of complexity and from various brain states (normal and diseased). We need to identify the neuronal ... See full document
52
Estimation of flow components by recursive filters: case study of Paracatu River Basin (SF-7), Brazil
... gap analysis in statistical ...that using multivariate techniques (such as EM and MI) increase the statistical reliability of hy- drological data gap ...runoff data, extra ... See full document
22
Integrating Data Mining Techniques into Telemedicine Systems
... of data collected and stored in every application led to the necessity of using a diversity of data analysis tools in order to explore and extract the significant infor- mation from the ... See full document
11
Uma análise dos tempos de paradas de equipamentos em uma indústria de alimentos: um estudo de caso
... this analysis, initially it will be used an variance model considering data transformed to a logarithmic scale to verify possible differences in average times due to several categorical ...second ... See full document
21
A tool for classifying individuals with chronic back pain: using multivariate pattern analysis with functional magnetic resonance imaging data.
... activity using different modalities of stimulation ...between-subject analysis in which brain activity was weighted by pain threshold level was not significant in the voxels selected by the SLR decoder ... See full document
12
José do Patrocinio Hora Alves1 , Lucas Cruz Fonseca2 , Raisa de Siqueira Alves Chielle
... basin, using multivariate data analysis, such as principal component analysis (PCA) and hierarchical cluster analysis ...a data matrix consisting of 12 sampling stations ... See full document
12
DIAGNOSTIC TECHNIQUES APPLIED IN GEOSTATISTICS FOR AGRICULTURAL DATA ANALYSIS
... spatial data analysis was performed using geostatistical techniques, identifying the structure of spatial dependence by means of the adjustment of some theoretical models, with parameters ... See full document
10
Mineralogical Mapping using Field and Image Based Spectra in Parts of Delhi-Aravalli Fold Belt, Rajasthan, India
... (radiance) data from EO-1 Hyperion dataset and to evaluate its application potential in mineral exploration in parts of Delhi-Aravalli Fold Belt region of western ...radiance data. Preprocessing ... See full document
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