YALE: rapid prototyping for complex data mining tasks

KDD is a complex and demanding task. While a large number of methods has been established for numerous problems, many challenges remain to be solved. New tasks emerge requiring the development of new methods or processing schemes. Like in software development, the development of such solutions demands for careful analysis, specification, implementation, and testing. Rapid prototyping is an approach which allows crucial design decisions as early as possible. A rapid prototyping system should support maximal re-use and innovative combinations of existing methods, as well as simple and quick integration of new ones. This paper describes Yale, a free open-source environment for KDD and machine learning. Yale provides a rich variety of methods which allows rapid prototyping for new applications and makes costly re-implementations unnecessary. Additionally, Yale offers extensive functionality for process evaluation and optimization which is a crucial property for any KDD rapid prototyping t...

• Type: Conference
• Year: 2006
• Where: KDD
• Authors: Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler
• Keywords: Data Mining, KDD 2006, Paper Describes Yale, Rapid Prototyping, Rapid Prototyping Tool