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YALE: Rapid Prototyping for Complex Data Mining Tasks (2006)
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| Venue: | In Proceedings of the 12th ACM SIGKDD International PONZETTO & STRUBE Conference on Knowledge Discovery and Data Mining |
| Citations: | 149 - 1 self |
BibTeX
@INPROCEEDINGS{Mierswa06yale:rapid,
author = {Ingo Mierswa and Martin Scholz and Ralf Klinkenberg and Michael Wurst and Timm Euler},
title = {YALE: Rapid Prototyping for Complex Data Mining Tasks},
booktitle = {In Proceedings of the 12th ACM SIGKDD International PONZETTO & STRUBE Conference on Knowledge Discovery and Data Mining},
year = {2006},
pages = {935--940},
publisher = {ACM Press}
}
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Abstract
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.
