Ibm Bpss Modeler Case Study

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1. Choose one data mining tools and briefly explain on background of the product. (10%)

IBM SPSS Modeler is a data mining and text analytics software application built by IBM. Used to build predictive models and conduct other analytic tasks. It has a visual interface which allows users to leverage statistical and data mining algorithms without programming.

The primary adaptations of the product called Clementine and Unix-based and is composed as an arranging apparatus and is not available to be purchased to clients. Clementine was initially created by a UK organization called Integral Solutions Limited (ISL), in a joint effort with scientists in counterfeit consciousness at the University of Sussex. Unique Clementine was executed on Poplog, …show more content…

In the early 2000s has developed into a product structural engineering customer/ server, and not long after that the following client interface part has been totally revised and supplanted with a Java front home, permitting deeper combination with different apparatuses gave by SPSS.

Later on, client runs under Windows. Behind Unix server variants (Sun, HP-UX, AIX), Linux and Windows. Graphical user interface written in Java. IBM SPSS Modeler 14.2 is the first release Modeler by IBM. IBM SPSS Modeler 15, issued in June 2012, introducing important new function for Social Network Analysis and Entity Analytics.

2. Discuss on data preparation features provide by the product. (up to one page) (20%). By integrating predictive analytics with decision management, scoring and optimization in the organization's processes and operational systems, SPSS Modeler help users and systems to make the right decision every time.
Decision management
Automating and optimizing transaction decisions by combining predictive analytics, rules and scoring to deliver the recommended action in real time. Decision management capabilities enable integration of predictive analytics and business rules into organizational processes to optimize and automate decision-high volume at the time of impact.
Automated …show more content…

Discuss on data mining operations (algorithms) perform by the product (IBM SPSS Modeler). (20%)

Database algorithms are often integrated with the database server and can offer better performance. The model is built and stored in the database easier to use and share any application that can access the database.

Generation SQL database model is different from SQL generation known as "SQL pushback". This feature allows you to create SQL statement to native IBM SPSS Modeller operations that can be "pushed back" to database to improve performance. For example, the Merge, aggregate, and Select all nodes generate SQL code that can be pushed back to the database in this way. Using SQL generation in combination with the model database can result in the river that can be run from beginning to end in the database, resulting in huge profits for the performance of the river walk in IBM SPSS Modeller.

SQL database modelling and optimization require IBM SPSS Modeller Server connectivity is enabled on the computer IBM SPSS Modeller. With this setting enabled, you can access the database algorithms; push back SQL directly from the IBM SPSS Modeller and IBM SPSS Modeller Server access. To verify the current license status, choose the following from the menu IBM SPSS

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