SPSS Modeler

IBM SPSS Modeler

Data mining tool
Developer(s)	IBM Corp.
Stable release	17.0 (Win / Unix / Linux) / March 2015
Operating system	Windows, Linux, UNIX
Type	Data mining and Predictive analytics
License	Proprietary software
Website	http://www-01.ibm.com/software/analytics/spss/products/modeler/

IBM SPSS Modeler is a data mining and text analytics software application built by IBM. It is 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.

IBM SPSS Modeler was originally named Clementine by its creators, Integral Solutions Limited. This name continued for a while after SPSS's acquisition of the product. SPSS later changed the name to SPSS Clementine, and then later to PASW Modeler.^[1] Following IBM's 2009 acquisition of SPSS, the product was renamed IBM SPSS Modeler, its current name.

Applications

SPSS Modeler has been used in these and other industries:

• Customer analytics ^[2] and Customer relationship management (CRM)
• Fraud detection and prevention^[3]
• Optimizing insurance claims
• Risk management
• Manufacturing quality improvement
• Healthcare quality improvement^[4]
• Forecasting demand or sales
• Law enforcement^[5] and border security
• Education^[6]
• Telecommunications^[7]
• Entertainment: e.g., predicting movie box office receipts^[8]

Editions

IBM sells the current version of SPSS Modeler (version 17) in two separate bundles of features. These two bundles are called "editions" by IBM:

• SPSS Modeler Professional: used for structured data, such as databases, mainframe data systems, flat files or BI systems
• SPSS Modeler Premium: Includes all the features of Modeler Professional, with the addition of:

– Text analytics

– Entity analytics

– Social network analysis

Both editions are available in desktop and server configurations.

Release history

• Clementine 1.0 – June 1994 by ISL^[9]
• Clementine 5.1 – Jan 2000
• Clementine 12.0 – Jan 2008
• PASW Modeler 13 (formerly Clementine) – April 2009
• IBM SPSS Modeler 14.0 – 2010
• IBM SPSS Modeler 14.2 – 2011
• IBM SPSS Modeler 15.0 – June 2012
• IBM SPSS Modeler 16.0 – December 2013
• IBM SPSS Modeler 17.0 – March 2015

Product history

Early versions of the software were called Clementine and were Unix based and designed as a consulting tool and not for sale to customers. Clementine was originally developed by a UK company named Integral Solutions Limited (ISL),^[9] in Collaboration with Artificial Intelligence researchers at Sussex University. The original Clementine was implemented in Poplog, which ISL marketed for Sussex University. Clementine mainly used two of the Poplog languages, Pop11 and Prolog, along with additional tools provided as part of Solaris, VMS and various versions of Unix. The tool quickly garnered the attention of the data mining community (at that time in its infancy). In order to reach a larger market, ISL then Ported Poplog to Microsoft Windows using the NutCracker package, later named MKS Toolkit to provide the Unix graphical facilities. Original in many respects, Clementine was the first data mining tool to use an icon based Graphical user interface rather than requiring users to write in a Programming language, though that option remained available for expert users.

In 1998 ISL was acquired by SPSS Inc., who saw the potential for extended development as a commercial data mining tool. In early 2000 the software was developed into a client / server architecture, and shortly afterward the client front-end interface component was completely re-written and replaced with a superior Java front-end, which allowed deeper integration with the other tools provided by SPSS.

SPSS Clementine version 12.0
The client front-end runs under Windows. The server back-end Unix variants (Sun, HP-UX, AIX), Linux, and Windows. The graphical user interface is written in Java.

IBM SPSS Modeler 14.0 was the first release of Modeler by IBM

IBM SPSS Modeler 15, released in June 2012, introduced significant new functionality for Social Network Analysis and Entity Analytics.

See also

• IBM SPSS Statistics
• List of statistical packages
• Cross Industry Standard Process for Data Mining

References

1. ↑ Oh My Darling! SPSS Says Goodbye Clementine, Hello 'PASW' – Intelligent Enterprise
2. ↑ Forrester Research, Inc. (2012); The Forrester Wave™: Customer Analytics Solutions, http://www.forrester.com/pimages/rws/reprints/document/80281/oid/1-KRB1C8
3. ↑ http://www-01.ibm.com/software/success/cssdb.nsf/CS/KKMH-88U29V?OpenDocument&Site=default&cty=en_us
4. ↑ http://www-01.ibm.com/software/analytics/spss/12/patient-outcomes/
5. ↑ http://www-01.ibm.com/software/success/cssdb.nsf/cs/STRD-8LJJGH?OpenDocument&Site=spss&cty=en_us
6. ↑ http://public.dhe.ibm.com/common/ssi/ecm/en/imw14303usen/IMW14303USEN.PDF
7. ↑ http://public.dhe.ibm.com/common/ssi/ecm/en/ytw03085usen/YTW03085USEN.PDF
8. ↑ Delen, Dursun (2009); Predicting Movie Box-Office Receipts Using SPSS Clementine Data Mining Software, in Nisbet, Robert; Elder, John; Miner, Gary (2009). Handbook of Statistical Analysis and Data Mining Applications. Elsevier. pp. 391–415. ISBN 978-0-12-374765-5. 
9. 1 2 Colin Shearer (1994); Mining the data-lode, Times Higher Education, November 18, 1994.

Further reading

• Chapman, P., Clinton, J., Kerber, R., Khabaza, T., Reinartz, T., Shearer, C., Wirth, R. (2000). "CRISP-DM 1.0", Chicago, IL: SPSS.
• Nisbet, R., Elder, J., and Miner, G. (2009). Handbook of Statistical Analysis and Data Mining Applications. Burlington, MA: Academic Press (Elsevier).
• Khabaza, Tom. (1999). The Story of Clementine

External links

• Users Guide – SPSS Modeler 15
• IBM SPSS Modeler website