Java Data Mining: Difference between revisions
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'''Java Data Mining''' ('''JDM''') |
'''Java Data Mining''' ('''JDM''') was a standard [[Java API]] for developing [[data mining]] applications and tools. JDM defines an object model and Java API for data mining objects and processes. JDM enables applications to integrate data mining technology for developing [[predictive analytics]] applications and tools. The JDM 1.0 standard was developed under the [[Java Community Process]] as JSR 73.<ref>[http://www.jcp.org/en/jsr/detail?id=73 JSR 73] (JDM 1.0)</ref> In 2006, the JDM 2.0 specification was being developed under JSR 247, but has been withdrawn in 2011 without standardization.<ref>[http://www.jcp.org/en/jsr/detail?id=247 JSR 247] (JDM 2.0)</ref> |
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Various data mining functions and techniques like [[statistical classification]] and [[association (statistics)|association]], [[regression analysis]], [[data clustering]], and [[attribute importance]] are covered by the 1.0 release of this standard. |
Various data mining functions and techniques like [[statistical classification]] and [[association (statistics)|association]], [[regression analysis]], [[data clustering]], and [[attribute importance]] are covered by the 1.0 release of this standard. |
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==See also== |
==See also== |
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* [[AIDA (computing)|AIDA]] (Abstract Interfaces for Data Analysis) is a language-neutral standard, with a Java implementation |
* [[AIDA (computing)|AIDA]] (Abstract Interfaces for Data Analysis) is a language-neutral standard, with a Java implementation |
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* Mark F. Hornick, Erik Marcade, Sunil Venkayala: "Java Data Mining: Strategy, Standard, And Practice: A Practical Guide for Architecture, Design, And Implementation" (Broché) |
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* [[SCaViS]] Java data analysis and data mining framework that supports scripting languages |
* [[SCaViS]] Java data analysis and data mining framework that supports scripting languages |
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* [[Weka (machine learning)]] |
* [[Weka (machine learning)]] |
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* [[Apache Mahout]] |
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== Books == |
== Books == |
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* <cite>Java Data Mining: Strategy, Standard, and Practice</cite>, Hornick, Marcadé, Venkayala, ISBN 0-12-370452-9 |
* <cite>Java Data Mining: Strategy, Standard, and Practice</cite>, Hornick, Marcadé, Venkayala, ISBN 0-12-370452-9 |
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== |
== References == |
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<references /> |
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* [http://www.jcp.org/en/jsr/detail?id=247 JSR 247] (JDM 2.0) |
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* [http://www.jcp.org/en/jsr/detail?id=73 JSR 73] (JDM 1.0) |
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* [https://datamining.dev.java.net Datamining] (java.net project) |
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* [http://www.javaworld.com/javaworld/jw-02-2007/jw-02-jdm.html?fsrc=rss-index Java Data Mining concepts] article by Mark F. Hornick, Erik Marcadé, and Sunil Venkayala, at JavaWorld.com |
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* [http://www.artima.com/lejava/articles/data_mining.html Mine Your Own Data with the JDM API] article by Frank Sommers |
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* [http://jdj.sys-con.com/read/49091.htm Using Java Data Mining to Develop Advanced Analytics Applications] article by Sunil Venkayala at SYS-CON JDM Article |
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[[Category:Java platform|Data Mining]] |
[[Category:Java platform|Data Mining]] |
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Revision as of 12:25, 20 November 2015
Java Data Mining (JDM) was a standard Java API for developing data mining applications and tools. JDM defines an object model and Java API for data mining objects and processes. JDM enables applications to integrate data mining technology for developing predictive analytics applications and tools. The JDM 1.0 standard was developed under the Java Community Process as JSR 73.[1] In 2006, the JDM 2.0 specification was being developed under JSR 247, but has been withdrawn in 2011 without standardization.[2]
Various data mining functions and techniques like statistical classification and association, regression analysis, data clustering, and attribute importance are covered by the 1.0 release of this standard.
See also
- AIDA (Abstract Interfaces for Data Analysis) is a language-neutral standard, with a Java implementation
- SCaViS Java data analysis and data mining framework that supports scripting languages
- Weka (machine learning)
Books
- Java Data Mining: Strategy, Standard, and Practice, Hornick, Marcadé, Venkayala, ISBN 0-12-370452-9
References
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