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K-Means, Kohonen, Two Step, Discriminant, Support Vector Machine (SVM).Mine for association rules with support for multiple consequents and continuous feedback for deterministic and accurate results. Generate decision trees, including interactive trees. Estimate conditional dependencies with graphical probabilistic models that combine the principles of graph theory, probability theory, computer science and statistics. Identify the frequent individual items in your transactional databases and extend them to larger item sets. Detect unusual records with a cluster-based algorithm. The modeling algorithms included in SPSS Modeler are: By identifying groups, group leaders and whether others will be affected based on influence, predictive models can be built on an individual and enhanced with their group and social behavior data. It is particularly useful for those in telecommunications and other industries concerned about attrition (or churn). Social network analysis examines the relationships between social entities and the implications of these relationships on an individual’s behavior. Entity analytics improves the coherence and consistency of data by resolving like entities even when the entities do not share any key values. Identity resolution is vital in a number of fields, including customer relationship management, national security, fraud detection and prevention of money laundering. Capture key concepts, themes, sentiments and trends and ultimately improve the accuracy of your predictive models. Go beyond the analysis of structured numerical data and include information from unstructured text data, such as web activity, blog content, customer feedback, emails and social media comments. Choose from three automated modeling methods: Auto Classifier, Auto Numeric and Auto Cluster.
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Select which models to use in deployment, without having to run them all individually and then compare performance. Use a variety of modeling approaches in a single run and then compare the results of the different modeling methods. Decision management capabilities enable the integration of predictive analytics and business rules into an organization’s processes to optimize and automate high-volume decisions at the point of impact. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions-from the desktop or within operational systems.īy integrating predictive analytics with decision management, scoring and optimization in your organization's processes and operational systems, SPSS Modeler helps your users and systems make the right decision every time.Īutomate and optimize transactional decisions by combining predictive analytics, rules and scoring to deliver recommended actions in real time. IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. IBM SPSS Modeler Premium Faculty Pack 17.0 Academic (Download - 12 Month License)