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XML for Analysis (XMLA) is an industry standard for data access in analytical systems, such as online analytical processing (OLAP) and data mining. XMLA is based on other industry standards such as XML, SOAP and HTTP. XMLA is maintained by XMLA Council with Microsoft, Hyperion and SAS Institute being the XMLA Council founder members.
Because all PowerShell objects are .NET objects, they share a .ToString() method, which retrieves the text representation of the data in an object. In addition, PowerShell allows formatting definitions to be specified, so the text representation of objects can be customized by choosing which data elements to display, and in what manner.
Henry Scheffé's simultaneous test of all contrasts in multiple comparison problems is the most [citation needed] well-known remedy in the case of analysis of variance. [1] It is a method designed for testing hypotheses suggested by the data while avoiding the fallacy described above.
A code quality analysis tool that uses static code analysis. RIPS: 2020-02-17 (3.4) No; proprietary — — Java — — — PHP A static code analysis solution with many integration options for the automated detection of complex security vulnerabilities. SAST Online: 2022-03-07 (1.1.0) No; proprietary — — Java — — — Kotlin, APK
BKR – The EEG data format developed at the University of Technology Graz, Austria; CFWB – Chart Data Format from ADInstruments Pty Ltd, Bella Vista NSW, Australia; DICOM – Waveform An extension of Dicom for storing waveform data; ecgML – A markup language for electrocardiogram data acquisition and analysis; EDF, EDF+ – European Data ...
Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. [4]
Data Analysis Expressions (DAX) is the native formula and query language for Microsoft PowerPivot, Power BI Desktop and SQL Server Analysis Services (SSAS) Tabular models. DAX includes some of the functions that are used in Excel formulas with additional functions that are designed to work with relational data and perform dynamic aggregation .
Data reconciliation is a technique that targets at correcting measurement errors that are due to measurement noise, i.e. random errors.From a statistical point of view the main assumption is that no systematic errors exist in the set of measurements, since they may bias the reconciliation results and reduce the robustness of the reconciliation.