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RapidMiner: Machine Learning, Data Mining, Graphical User Interface, SourceForge, Java, Weka (Machine Learning)
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 (Buch) |
Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 2 Artikel!
| Lieferstatus: |
i.d.R. innert 7-14 Tagen versandfertig |
| Veröffentlichung: |
März 2026
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| Genre: |
Ratgeber |
| ISBN: |
9786131174681 |
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EAN-Code:
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9786131174681 |
| Verlag: |
Omniscriptum |
| Einband: |
Kartoniert |
| Sprache: |
English
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| Dimensionen: |
H 220 mm / B 150 mm / D 6 mm |
| Gewicht: |
167 gr |
| Seiten: |
100 |
| Bewertung: |
Titel bewerten / Meinung schreiben
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| Inhalt: |
| Please note that the content of this book primarily consists of articles
available from Wikipedia or other free sources online. RapidMiner
(formerly YALE (Yet Another Learning Environment)) 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,
described in XML files which are created with RapidMiner's graphical
user interface. RapidMiner is used for both research and real-world data
mining tasks. The initial version has been developed by the Artificial
Intelligence Unit of University of Dortmund since 2001. It is
distributed under a GNU license, and has been hosted by SourceForge
since 2004. RapidMiner provides more than 500 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 learning schemes and attribute evaluators of the Weka
learning environment. |
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