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The SAS language is a fourth-generation computer programming language used for statistical analysis, created by Anthony James Barr at North Carolina State University. [1] [2] Its primary applications include data mining and machine learning.
SAS macros are pieces of code or variables that are coded once and referenced to perform repetitive tasks. [8] SAS data can be published in HTML, PDF, Excel, RTF and other formats using the Output Delivery System, which was first introduced in 2007. [9] SAS Enterprise Guide is SAS's point-and-click interface.
JMP (pronounced "jump" [1]) is a suite of computer programs for statistical analysis and machine learning developed by JMP, a subsidiary of SAS Institute.The program was launched in 1989 to take advantage of the graphical user interface introduced by the Macintosh operating systems.
SEMMA is an acronym that stands for Sample, Explore, Modify, Model, and Assess. It is a list of sequential steps developed by SAS Institute, one of the largest producers of statistics and business intelligence software. It guides the implementation of data mining applications. [1]
SAS Institute (or SAS, pronounced "sass") is an American multinational developer of analytics and artificial intelligence software based in Cary, North Carolina. SAS develops and markets a suite of analytics software (also called SAS), which helps access, manage, analyze and report on data to aid in decision-making. The company's software is ...
The SAS Survival Handbook is a survival guide by British author and soldier, John Wiseman, first published by Williams Collins in 1986. Second, revised edition came out in 2009. [ 1 ] A digital app for smartphones based on the book is also available. [ 2 ]
A set of books extracted from the Project Gutenberg books library Text Natural Language Processing 2019 Jack W et al. Deepmind Mathematics: Mathematical question and answer pairs. Text Natural Language Processing 2018 [116] D Saxton et al. Anna's Archive: A comprehensive archive of published books and papers None 100,356,641 Text, epub, PDF
Undersampling with ensemble learning. A recent study shows that the combination of Undersampling with ensemble learning can achieve better results, see IFME: information filtering by multiple examples with under-sampling in a digital library environment. [10]
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