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Example of this would be a server connected to a SAN/NAS, The SAN/NAS would be a target for the server (target deduplication). The server is not aware of any deduplication, the server is also the point of data generation. A second example would be backup. Generally this will be a backup store such as a data repository or a virtual tape library.
P. Westfall, R. Tobias, R. Wolfinger (2011) Multiple comparisons and multiple testing using SAS, 2nd edn, SAS Institute; A gallery of examples of implausible correlations sourced by data dredging; An xkcd comic about the multiple comparisons problem, using jelly beans and acne as an example
Record linkage (also known as data matching, data linkage, entity resolution, and many other terms) is the task of finding records in a data set that refer to the same entity across different data sources (e.g., data files, books, websites, and databases).
The present page holds the title of a primary topic, and an article needs to be written about it. It is believed to qualify as a broad-concept article.It may be written directly at this page or drafted elsewhere and then moved to this title.
Version 7 introduced the Output Delivery System (ODS) and an improved text editor. Subsequent releases improved upon the ODS. For example, more output options were added in version 8. The number of operating systems that were supported was reduced to UNIX, Windows and z/OS, and Linux was added. [40] SAS 8 and SAS Enterprise Miner were released ...
"One of the best examples comes from one of the best digital companies on the planet, Amazon," he revealed. "If you need support, the customer will be promoted to answer a series of questions ...
In computability theory, an undecidable problem is a decision problem for which an effective method (algorithm) to derive the correct answer does not exist. More formally, an undecidable problem is a problem whose language is not a recursive set ; see the article Decidable language .
C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. [1] C4.5 is an extension of Quinlan's earlier ID3 algorithm.The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier.