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The Extensions Hub is an interface for searching for, downloading, and installing extensions from the IBM SPSS Predictive Analytics collection on GitHub.
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Note: The previous Time Series, Streaming Time Series, and Time Intervals nodes have been deprecated in this release however, their functionality is still supported in any existing streams.Įxtensions Hub. A new Extensions Hub has been added (access from Extensions > Extensions Hub in IBM SPSS Modeler Client). A new Streaming Time Series node that is based on the new Time Series node is also available. The new node is similar to the Time Series node that was available in previous releases, but it runs with either embedded or remote IBM SPSS Analytic Server to process big data and display the resulting model in the output viewer. Time Series node. A new Time Series node is available. IBM SPSS Modeler adds the following features in this release. SPSS Modeler can operate independently or in operational systems on multiple platforms in your own environment or in the cloud.
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Meet your needs with flexible deployment. Choose the deployment that best suits your requirements to optimize your existing IT investment. The short learning curve for SPSS Modeler enables novices and advanced users to begin uncovering results almost immediately. The intuitive SPSS Modeler interface appeals to a wide range of users from the non-technical business user to the statistician, data miner or data scientist because it enables them analyze data in a way that suits them. Get up and running quickly. A comprehensive platform that provides analytics is next to worthless if no one can use it.Solve a variety of business problems with an extensive range of analytics. SPSS Modeler offers analytics that range from descriptive analytics to advanced algorithms and that include automated modeling, text analytics, entity analytics, social network analysis, decision management and optimization.
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With its client server architecture, SPSS Modeler can push the analysis back to the source for execution, which can minimize data movement and increase performance. Analyze almost all data. Conduct analysis regardless of where the data is stored (such as in a data warehouse, a database, Hadoop or flat file) and regardless of whether it is structured (age, price, product, location) or unstructured (text, emails, social media).By integrating predictive analytics with decision management, scoring and optimization in your organization's processes and operational systems, IBM® SPSS® Modeler helps your users and systems make the right decision every time.
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