Java Data Mining: Difference between revisions
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== Books == |
== Books == |
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* <cite>Java Data Mining: Strategy, Standard, and Practice</cite>, Hornick, Marcadé, Venkayala, ISBN |
* <cite>Java Data Mining: Strategy, Standard, and Practice</cite>, Hornick, Marcadé, Venkayala, {{ISBN|0-12-370452-9}} |
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== References == |
== References == |
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Revision as of 06:23, 18 June 2017
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Java Community Process as JSR 73.[1] In 2006, the JDM 2.0 specification was being developed under JSR 247, but has been withdrawn in 2011 without standardization.[2]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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