Читать книгу Data Mining and Machine Learning Applications - Группа авторов - Страница 25

One can visit https://rapidminer.com/products/studio/ for further instructions to download this tool. Its main features are as follows speedy creation of predictive models; Rich set of libraries to build the model like Bayesian modeling, Regression, Clustering, Neural networks, Decision trees. A rapid miner comes with templates, which are provided for guidance. One can use any data source like MS-excel, Access, CSV, NoSQL, MongoDB, Microsoft SQL Server, MySQL, Cassandra, PDF, HTML, XML. Rapid Miner Supports ETL (extract–transform–load), multiple file types, and Data exploration using exact statistical analysis. The Code control & management module is responsible for Background process execution, Automatic optimization, Scripting, Macros, Logging, Process control, and Process-based reporting. One can obtain good visualization using Scatter, scatter matrices, Line, Bubble, Parallel, Deviation, Box, 3-D, Density, Histograms, Area, Bar charts, stacked bars, Pie charts, Survey plots, Self-organizing maps, Andrews curves, Quartile, Surface/contour plots, time series plots, Pareto/lift chart. And finally, One can validate the designed model before deployment through Split validation, Bootstrapping, Batch cross-validation, Wrapper cross-validation, Lift chart, and Confusion matrix [24].