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Data exploration and data reduction: thematic analysis

Data Exploration at the Exascale

Data Exploration at the Exascale

... Data Exploration at the Exascale Hank Childs 1 c The Author ...simulation data. In re- sponse, a new paradigm is emerging: data is transformed and massively reduced in situ and then the ...

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The Development of Data Quality Metrics using Thematic Analysis

The Development of Data Quality Metrics using Thematic Analysis

... Keywords: data quality, data quality dimension, accuracy, completeness, timeliness ...on data quality is not something new in the world as it is needed to help in decision making in any organizations ...

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Thematic data analysis made easy TJowsey2016.pdf

Thematic data analysis made easy TJowsey2016.pdf

... science data who want to undertake general purpose thematic data analysis, and are not sure how to ...to data analysis, and I have listed a few of my favourites at the end of ...

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Visual Exploration and Analysis of Perfusion Data

Visual Exploration and Analysis of Perfusion Data

... the analysis is usually restricted to the first ...256. Data are acquired at end diastole over a sequence of 30–60 ...perfusion data such that both may be compared is technically challenging, since ...

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Data exploration with Microsoft Excel: univariate analysis

Data exploration with Microsoft Excel: univariate analysis

... Figure 10 – Frequency table of Store location showing counts, per cent and cumulative per cent (n = 20) The contents of a PivotTable report can easily be changed by adding, removing or replacing fields in the Field List. ...

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Interactive Exploration and Analysis of Pathlines in Flow Data

Interactive Exploration and Analysis of Pathlines in Flow Data

... advanced exploration and analysis solutions ...pathline analysis which further improve the abilities of analysis: a multi-step analysis which helps to save time and space needed for ...

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VisIVO: data exploration of complex data

VisIVO: data exploration of complex data

... 4 Consorzio Cometa, Consorzio Multiente per la promozione e l’adozione di teconologie di calcolo avanzato, Catania, Italy Abstract. Advanced visualization tools can help the researcher in investigating and ex- tracting ...

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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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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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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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Big Data Insights (Thematic Weekend)

Big Data Insights (Thematic Weekend)

... textual data analysis methods (sentiment and semantic analysis) can help to use this data in business ...and analysis use cases ...

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Thematic Analysis of Qualitative Data Using Diverse yet Complementary Approaches

Thematic Analysis of Qualitative Data Using Diverse yet Complementary Approaches

... of analysis The difference in the frequencies relating to each theme resulted from hierarchical coding from the manual approach and inclusion of responses in all applicable categories in the approach using QSR ...

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NOWAC&Data&Exploration&

NOWAC&Data&Exploration&

... entire data analysis and knowledge discovery pipeline for epidemiological ...big data systems can be used to manage the immensely large quantities of bio- logical data ...multi-variate ...

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SWISH DataLab: A Web Interface for Data Exploration and Analysis

SWISH DataLab: A Web Interface for Data Exploration and Analysis

... · data processing · data mining 1 Introduction Data is ubiquitous, and so are tools supporting data ...the analysis. For example, the preprocessing and exploration of data ...

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Data Exploration with GIS Viewsheds and Social Network Analysis

Data Exploration with GIS Viewsheds and Social Network Analysis

... Summary We present a novel exploratory method combining line of sight visibility (viewshed analysis) and techniques from social network analysis to investigate archaeological data. At increasing ...

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Process Operator Skill Exploration by a Data Analysis Software

Process Operator Skill Exploration by a Data Analysis Software

... the data of a single operator group significantly differ from at least two other groups, the corresponding median marker is ...applied analysis method and of more advanced visualization methods, see Haavisto ...

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EXPLORATION TECHNOLOGY REQUIRES A RADICAL CHANGE IN DATA ANALYSIS

EXPLORATION TECHNOLOGY REQUIRES A RADICAL CHANGE IN DATA ANALYSIS

... constraints, exploration and production companies are trying to improve their recovery rates from existing ...of exploration technologies for better operational ...

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Interactive visual exploration and analysis of origin-destination data

Interactive visual exploration and analysis of origin-destination data

... migration data using geographic flow ...flow data and study the spatiotemporal mobility ...incident analysis by using an expanding circle to highlight the traffic ...visual analysis of traffic ...

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DATA wrangling is defined as an iterative data exploration

DATA wrangling is defined as an iterative data exploration

... Federated Data Management Sergi Nadal, Alberto Abell ´o, Oscar Romero, Stijn Vansummeren, Panos Vassiliadis, Senior Member, IEEE Abstract—Modern data analysis applications require the ability to ...

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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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