Structured data analysis may refer to:
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Structured data analysis (statistics) — Structured data analysis is the statistical data analysis of structured data. Either in the form of a priori structure such as multiple choice questionnaires or in situations with the need to search for structure that fits the given data, either… … Wikipedia
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… … Wikipedia
Data analysis — Analysis of data is a process of inspecting, cleaning, transforming, and modeling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. Data analysis has multiple facets and approaches,… … Wikipedia
Structured Systems Analysis and Design Method — (SSADM) is a systems approach to the analysis and design of information systems. SSADM was produced for the CCTA, a UK government office concerned with the use of technology in government, from 1980 onwards. The names Structured Systems Analysis… … Wikipedia
Exploratory data analysis — (EDA) is an approach to analyzing data for the purpose of formulating hypotheses worth testing, complementing the tools of conventional statistics for testing hypotheses And roughly the only mechanism for suggesting questions is exploratory. And… … Wikipedia
Topological data analysis — is a new area of study aimed at having applications in areas such as data mining and computer vision. The main problems are (1) how one infers high dimensionalstructure from low dimensional representations; and (2) how one assembles discrete… … Wikipedia
Geometric data analysis — can refer to geometric aspects of image analysis, pattern analysis and shape analysis or the approach of multivariate statistics that treats arbitrary data sets as clouds of points in n dimensional space. This includes topological data analysis,… … Wikipedia
Combinatorial data analysis — (CDA) is the study of data sets where the arrangement of objects is important. CDA can be used either to determine how well a given combinatorial construct reflects the observed data, or to search for a suitable combinatorial construct that does… … Wikipedia
Data mining — Not to be confused with analytics, information extraction, or data analysis. Data mining (the analysis step of the knowledge discovery in databases process,[1] or KDD), a relatively young and interdisciplinary field of computer science[2][3] is… … Wikipedia
Data Intensive Computing — is a class of parallel computing applications which use a data parallel approach to processing large volumes of data typically terabytes or petabytes in size and typically referred to as Big Data. Computing applications which devote most of their … Wikipedia
