Search results
Results from the WOW.Com Content Network
SEMMA mainly focuses on the modeling tasks of data mining projects, leaving the business aspects out (unlike, e.g., CRISP-DM and its Business Understanding phase). Additionally, SEMMA is designed to help the users of the SAS Enterprise Miner software. Therefore, applying it outside Enterprise Miner may be ambiguous. [3]
Chooses the best model (set of models) indicated by minimal value of the criterion. For the selected model of optimal complexity recalculate coefficients on a whole data sample. In contrast to GMDH-type neural networks Combinatorial algorithm usually does not stop at the certain level of complexity because a point of increase of criterion value ...
SigmaStat – package for group analysis; Simul – econometric tool for multidimensional (multi-sectoral, multi-regional) modeling; SmartPLS – statistics package used in partial least squares path modeling (PLS) and PLS-based structural equation modeling; SOCR – online tools for teaching statistics and probability theory
SAS is used for preparing input data, and building and optimizing machine learning algorithms. [25] Various models, such as artificial neural networks (ANN), convolutional neural networks and deep learning models, are developed and trained in SAS. [26] These are applied to areas such as computer vision and fraud detection. [27]
Group model s: some algorithms do not provide a refined model for their results and just provide the grouping information. Graph-based model s : a clique , that is, a subset of nodes in a graph such that every two nodes in the subset are connected by an edge can be considered as a prototypical form of cluster.
SAS develops data analysis and machine learning techniques that are widely applied in healthcare, medical research and life sciences. [116] SAS has partnered on public health initiatives with the Centers for Disease Control and Prevention and Black Dog Institute. [117] SAS has been a partner of the Cleveland Clinic since 1982. [118]
JMP Pro is intended for data scientists, and has an emphasis on advanced predictive modelling and model selection. [41] JMP Genomics, used for analyzing and visualizing genomics data, [49] requires a SAS component to operate and can access SAS/Genetics and SAS/STAT procedures or invoke SAS macros. [48]
Neural Designer is a data mining software based on deep learning techniques written in C++. Orange is a similar open-source project for data mining, machine learning and visualization based on scikit-learn. RapidMiner is a commercial machine learning framework implemented in Java which integrates Weka.