Search for "Data analysis" in article titles:

1. Data analysis: Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names ... (The process of analyzing data to discover useful information and support decision-making) [100%] 2023-10-12 [Data analysis] [Data processing]...
2. Data analysis: Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names ... (The process of analyzing data to discover useful information and support decision-making) [100%] 2023-10-06 [Data analysis] [Data processing]...
3. Data analysis: Data analysis is the process of looking at and summarizing data with the intent to extract useful information, make inferences, and develop conclusions. Using statistical or numerical software applications, data analysis can be pursued using a range of techniques, including ... [100%] 2024-05-07 [Research] [Statistics]...
4. Data analysis for fraud detection: Fraud represents a significant problem for governments and businesses and specialized analysis techniques for discovering fraud using them are required. Some of these methods include knowledge discovery in databases (KDD), data mining, machine learning and statistics. (Data analysis techniques for fraud detection) [63%] 2023-01-05 [Fraud] [Data analysis]...
5. Data analysis techniques for fraud detection: Fraud that involves cell phones, insurance claims, tax return claims, credit card transactions, government procurement etc. represent significant problems for governments and businesses and specialized analysis techniques for discovering fraud using them are required. (Data analysis techniques for fraud detection) [57%] 2024-03-02 [Data analysis] [Applications of artificial intelligence]...
6. Geometric data analysis: Geometric data analysis comprises geometric aspects of image analysis, pattern analysis, and shape analysis, and the approach of multivariate statistics, which treat arbitrary data sets as clouds of points in a space that is n-dimensional. This includes topological data ... [81%] 2023-10-12 [Multivariate statistics] [Spatial analysis]...
7. Combinatorial data analysis: In statistics, combinatorial data analysis (CDA) is the study of data sets where the order in which objects are arranged is important. CDA can be used either to determine how well a given combinatorial construct reflects the observed data, or ... [81%] 2023-10-12 [Combinatorics] [Data analysis]...
8. Functional data analysis: Functional data analysis (FDA) is a branch of statistics that analyses data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, under an FDA framework, each sample element of functional data is ... [81%] 2023-12-25 [Statistical data types] [Statistical analysis]...
9. Forensic data analysis: Forensic Data Analysis (FDA) is a branch of Digital forensics. It examines structured data with regard to incidents of financial crime. (Social) [81%] 2023-12-19 [Digital forensics]
10. Functional data analysis: $ \def\cov{ {\rm cov}} $ $ \def\var{ {\rm var}} $ $ \def\ci{\cite} $ $ \def\cp{\citep} $ $ \def\eps{\varepsilon} $ $ \def\T{\mathcal{T}} $ $ \def\mt{\mathcal{T}} $ $ \def\xk{A_k} $ $ \def\xik{A_{ik}} $ $ \def\hxk{\hat{A}_k} $ $ \def\hxik{\hat ... (Mathematics) [81%] 2023-10-29 [Statprob]
11. Video Data Analysis: Video Data Analysis (VDA) is a curated multi-disciplinary collection of tools, techniques, and quality criteria intended for analyzing the content of visuals to study driving dynamics of social behavior and events in real-life settings. It often uses visual ... [81%] 2023-10-17 [Data analysis] [Techniques]...
12. Data-flow analysis: Template:Cleanup Data-flow analysis is a technique for gathering information about the possible set of values calculated at various points in a computer program. A program's control flow graph (CFG) is used to determine those parts of a ... [81%] 2023-12-18 [Compiler optimizations] [Static code analysis]...
13. Topological data analysis: In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information from datasets that are high-dimensional, incomplete and noisy is generally challenging. (Analysis of datasets using techniques from topology) [81%] 2023-10-06 [Computational topology] [Data analysis]...
14. Symbolic data analysis: Symbolic data analysis (SDA) is an extension of standard data analysis where symbolic data tables are used as input and symbolic objects are made output as a result. The data units are called symbolic since they are more complex than ... (Extension of standard data analysis) [81%] 2023-10-11 [Data analysis] [Computational statistics]...
15. Social data analysis: Social data analysis is the data-driven analysis of how people interact in social contexts, often with data obtained from social networking services. The goal may be to simply understand human behavior or even to propagate a story of interest ... [81%] 2024-01-03 [Data visualization] [Collective intelligence]...
16. Social data analysis: Social data analysis is the data-driven analysis of how people interact in social contexts, often with data obtained from social networking services. The goal may be to simply understand human behavior or even to propagate a story of interest ... (Social) [81%] 2023-12-15 [Data visualization] [Collective intelligence]...
17. Data envelopment analysis: Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications ... [81%] 2023-12-01 [Linear programming] [Production economics]...
18. Topological data analysis: In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology. Extraction of information from datasets that are high-dimensional, incomplete and noisy is generally challenging. (Analysis of datasets using techniques from topology) [81%] 2023-10-13 [Computational topology] [Data analysis]...
19. Unicity (data analysis): Unicity (\displaystyle{ \varepsilon_p }[/math]) is a risk metric for measuring the re-identifiability of high-dimensional anonymous data. First introduced in 2013, unicity is measured by the number of points p needed to uniquely identify an individual in a data ... (Data analysis) [81%] 2023-12-30 [Data analysis]
20. Combinatorial data analysis: In statistics, combinatorial data analysis (CDA) is the study of data sets where the order in which objects are arranged is important. CDA can be used either to determine how well a given combinatorial construct reflects the observed data, or ... [81%] 2023-10-06 [Combinatorics] [Data analysis]...
21. Data envelopment analysis: Data envelopment analysis (DEA) is a nonparametric method in operations research and economics for the estimation of production frontiers. DEA has been applied in a large range of fields including international banking, economic sustainability, police department operations, and logistical applications ... (Method in operations research and economics) [81%] 2024-05-16 [Linear programming] [Production economics]...
22. Multiway data analysis: Multiway data analysis is a method of analyzing large data sets by representing a collection of observations as a multiway array, \displaystyle{ {\mathcal A}\in{\mathbb C}^{I_0\times I_1\times \dots I_c\times \dots I_C} }[/math]. The proper choice ... (Method of analyzing large data sets) [81%] 2024-06-09 [Data analysis]
23. Video Data Analysis: Video Data Analysis (VDA) is a curated multi-disciplinary collection of tools, techniques, and quality criteria intended for analyzing the content of visuals to study driving dynamics of social behavior and events in real-life settings. It often uses visual ... (Social) [81%] 2024-08-24 [Social anthropology]
24. Structured data analysis (systems analysis): Structured data analysis (SDA) is a method for analysing the flow of information within an organization using data flow diagrams. It was originally developed by IBM for systems analysis in electronic data processing, although it has now been adapted for ... (Systems analysis) [76%] 2023-10-09 [Systems analysis]
25. Origin (data analysis software): Origin is a proprietary computer program for interactive scientific graphing and data analysis. It is produced by OriginLab Corporation, and runs on Microsoft Windows. (Software) [70%] 2024-02-02 [Data analysis software] [Earth sciences graphics software]...
26. Digital Feature Analysis Data: Digital Feature Analysis Data (DFAD) ist eine Sammlung digitaler kartographischer Daten der US-amerikanischen Defense Mapping Agency (DMA) (aufgegangen in der National Geospatial-Intelligence Agency). Als Teil des Digital Land Mass System (DLMS) ergänzt sie die topographischen Informationen der DTED ... [70%] 2023-06-04
27. Structured data analysis (statistics): Structured data analysis is the statistical data analysis of structured data. This can arise either in the form of an a priori structure such as multiple-choice questionnaires or in situations with the need to search for structure that fits ... (Statistics) [70%] 2023-12-30 [Statistical analysis]
28. Methodology tutorial - qualitative data analysis: This is part of the methodology tutorial (see its table of contents). In short, qualitative data analysis usually implies to related and iterative steps. [63%] 2024-01-05 [research methodologies] [Research methodology tutorials]...
29. Global Ocean Data Analysis Project: The Global Ocean Data Analysis Project (GLODAP) is a synthesis project bringing together oceanographic data, featuring two major releases as of 2018. The central goal of GLODAP is to generate a global climatology of the World Ocean's carbon cycle ... (Earth) [63%] 2023-10-02 [Biological oceanography] [Carbon]...
30. Methodology tutorial - exploratory data analysis: This is part of the methodology tutorial (see its table of contents). This tutorial will provide a short introduction to exploratory data analysis (EDA), multi-variate data reduction and related subjects. [63%] 2024-01-11 [research methodologies] [Research methodology tutorials]...
31. Methodology tutorial - quantitative data analysis: This is part of the methodology tutorial (see its table of contents). This tutorial is a short introduction to simple (rather confirmatory) statistics for beginners. [63%] 2024-01-13 [research methodologies] [Research methodology tutorials]...