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RapidMiner : data mining use cases and business analytics applications / edited by Markus Hofmann, Institute of Technology Blanchardstown, Dublin, Ireland, Ralf Klinkenberg, Rapid-I/RapidMiner Dortmund, Germany

Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Series: Chapman & Hall/CRC data mining and knowledge discovery series ; 33Publisher: Boca Raton ; London ; New York : CRC Press, Taylor & Francis Group, [2014]Copyright date: © 2014Description: 1 Online-Ressource (liv, 454 Seiten) : Diagramme, IllustrationenISBN:
  • 9781482205503
  • 9780429171093
  • 9781498759861
Subject(s): Additional physical formats: 9781482205497. | Erscheint auch als: RapidMiner. Druck-Ausgabe. Boca Raton, Fla. [u.a.] : CRC Press, 2014. LIV, 465 S.DDC classification:
  • 006.312
RVK: RVK: ST 530DOI: DOI: 10.1201/b16023Online resources: Summary: 1. Introduction to data mining and RapidMiner -- 2. Basic classification use cases for credit approval and in education -- 3. Marketing, cross-selling, and recommender system use cases -- 4. Clustering in medical and educational domains -- 5. Text mining : spam detection, language detection, and customer feedback analysis -- 6. Feature selection and classification in astroparticle physics and in medical domains -- 7. Molecular structure- and property-activity relationship modeling in biochemistry and medicine -- 8. Image mining : feature extraction, segmentation, and classification -- 9. Anomaly detection, instance selection, and prototype construction -- 10. Meta-learning, automated learner selection, feature selection, and parameter optimization.PPN: PPN: 1920680101Package identifier: Produktsigel: ZDB-7-TFC
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