Spss Clementine 12.0

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SPSS Modeler

Excel 2003 and SPSS Clementine 12.0 software were used to conduct statistics on the included cases, and Apriori algorithm and association rules were used for the association analysis on drug combination. A total of 131 cases of COVID-19 were treated with Ganlu Xiaodu Decoction combined with Chinese and Western medicine. Your comments are important. Please let us know about your experiences with SPSS products. We especially like to hear about new and interesting applications using Clementine. Please send e-mail to suggest@spss.com or write to SPSS Inc., Attn.: Director of Product Planning, 233 South Wacker Drive, 11th Floor, Chicago, IL. Contacting SPSS.

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  • SPSS Clementine (clementine.exe) latest version 12.0.4.14, IBM® SPSS® Modeler is a powerful, versatile data and text analytics workbench that helps you build accurate predictive models quickly and intuitively, without programming. Easily visualize the data mining process, using IBM SPSS Modeler's intuitive graphical interface.
IBM SPSS Modeler
Developer(s)IBM Corp.
Stable release 16.0 (Win / Unix / Linux) / August 2013
Operating systemWindows, Linux, UNIX
TypeData mining and Predictive analytics
LicenseProprietary 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
  • 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

Clementine

IBM sells the current version of SPSS Modeler (version 15) 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

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 14.2 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

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.
  9. ^ abColin Shearer (1994); Mining the, Chicago, IL: SPSS.
  10. Nisbet, R., Elder, J., and Miner, G. (2009). Handbook of Statistical Analysis and Data Mining Applications. Burlington, MA: Academic Press (Elsevier).
  11. Khabaza, Tom. (1999). The Story of Clementine

    12. External links

    • Users Guide – SPSS Modeler 15
    • IBM SPSS Modeler website
    • [1]
    Public domain
    Open source
    Freeware
    Retail
    Cross-platform
    • IBM SPSS Modeler
    Windows only
    Excel add-ons
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  4. ing system, implemented by ISL on Poplog, mainly using Pop-11 and its X Window graphical interface, achieved very wide sales and usage during the 1990s. Most users insisted on a version for PC+Windows rather than the Unix/Solaris/VMS versions, so ISL Ported Unix Poplog to.
  5. ing that provides an intuitive way to develop data

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Clementine software was used for the experimental studies. The models used in Clementine are support vector machine model, C5.0 model and neural net model. Furthermore, feature selection algorithm is used in order to reduce the dimensionality of the dataset. In order to measure th Clementine is a free and open-source audio player. It is a port of Amarok 1.4 to the Qt 4 framework and the GStreamer multimedia framework. It is available for Unix-like, Windows and macOS. Clementine is released under the terms of the GNU General Public License. Clementine was created due to the transition from version 1.4 to version 2 of Amarok, and the shift of focus connected with it, which was criticized by many users. The first version of Clementine was released in February. the data mining software Clementine to clustering analy-sis on the reader firstly, and cluster the behavior of bor-rowing books for high frequency, medium frequency and low frequency[2]. To do the association rule mining to the books which is borrowed by readers who borrow b

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Weka is tried and tested open source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. It is widely used for WEKA can be integrated with the most popular data science tools. R. Weka models can be used, built, and evaluated in R by using the RWeka package for. text mining clementine Gratis download software a UpdateStar - . Un editor di testo avanzato per codice, markup e prosa. Ti piace l'interfaccia utente chiazza di petrolio, straordinarie caratteristiche e prestazioni sorprendenti. È possibile utilizzare la modalità di modifica di Spalato Put data mining in the hands of business users while increasing analysts' productivity. IBM SPSS Modeler is fully integrated with other IBM SPSS software products, so you can perform data preparation and manipulation, statistical testing and reporting without leaving the data mining workbench Summary. This chapter discusses selected commercial software for data mining, supercomputing data mining, text mining, and web mining. The selected software are compared with their features and also applied to available data sets

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