RapidMiner (formerly YALE) is an environment for machine learning and data mining experiments. It allows experiments to be made up of a large number of arbitrarily nestable operators and they are described in XML files which can easily be created with RapidMiner's graphical user interface. Applications of RapidMiner cover both research and real-world data mining tasks. As a broad subfield of artificial intelligence, machine learning is concerned with the design and development of algorithms and techniques that allow computers to learn. At a general level, there are two types of learning: inductive, and deductive. ... Data mining (DM), also called Knowledge-Discovery in Databases (KDD) or Knowledge-Discovery and Data Mining, is the process of automatically searching large volumes of data for patterns using tools such as classification, association rule mining, clustering, etc. ... The Extensible Markup Language (XML) is a general-purpose markup language. ... A graphical user interface (GUI) is a type of user interface which allows people to interact with a computer and computer-controlled devices which employ graphical icons, visual indicators or special graphical elements called widgets, along with text labels or text navigation to represent the information and actions available to...

Its initial version was developed by the Artificial Intelligence Unit of Dortmund University since 2001. It has a GNU license, and is hosted by SourceForge since 2004. Dortmund University Dortmund University (German: Universität Dortmund) is a medium-sized university in Dortmund, North Rhine-Westphalia, Germany with over 20,000 students, and over 3,000 staff. ... Year 2001 (MMI) was a common year starting on Monday of the Gregorian calendar. ... GNU (pronounced ) is a computer operating system composed entirely of free software. ... ‹ The template below has been proposed for deletion. ... shelby was here 2004 (MMIV) was a leap year starting on Thursday of the Gregorian calendar. ...

RapidMiner provides more than 400 operators for all main machine learning procedures, including input and output, and data preprocessing and visualization. It is written in the Java programming language and therefore can work on all popular operating systems. It also integrates all learning schemes and attribute evaluators of the Weka learning environment. Java is a programming language originally developed by Sun Microsystems and released in 1995. ... Weka is a suite of machine learning software written in Java at the University of Waikato which implements several machine learning algorithms from various learning paradigms. ...

Properties

A RapidMiner screenshot (click for full size view).

Some properties of RapidMiner are: Image File history File links Download high-resolution version (1000x760, 117 KB) Screenshot and the underlying program wer made by myself. ... Image File history File links Download high-resolution version (1000x760, 117 KB) Screenshot and the underlying program wer made by myself. ...

• written in Java
• knowledge discovery processes are modeled as operator trees
• internal XML representation ensures standardized interchange format of data mining experiments
• scripting language allows for automatic large-scale experiments
• multi-layered data view concept ensures efficient and transparent data handling
• graphical user interface, command line mode (batch mode), and Java API for using RapidMiner from your own programs
• plugin and extension mechanisms, several plugins already exist
• plotting facility offering a large set of high-dimensional visualization schemes for data and models
• applications include text mining, multimedia mining, feature engineering, data stream mining and tracking drifting concepts, development of ensemble methods, and distributed data mining.

Data mining, also known as knowledge-discovery in databases (KDD), is the practice of automatically searching large stores of data for patterns. ...

References

• Mierswa, Ingo and Wurst, Michael and Klinkenberg, Ralf and Scholz, Martin and Euler, Timm: YALE: Rapid Prototyping for Complex Data Mining Tasks, in Proceedings of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-06), 2006.

Ralf Klinkenberg (born May 30, 1971, in Troisdorf, Germany), is a German computer scientistist in the field of artificial intelligence (AI), knowledge discovery (KD), data mining, and machine learning (ML). ...

External links

• RapidMiner project home page
• YALE becomes RapidMiner
• YALE SourceForge.net (SF.net) project site