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Einführung

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Data Mining

Part of the book series: Computational Intelligence ((CI))

Zusammenfassung

Dieses Buch behandelt Modelle und Algorithmen für die Analyse von Daten, zum Beispiel Daten aus industriellen und geschäftlichen Prozessen, Text und strukturierte Daten, Bilddaten oder biomedizinische Daten. Es werden die Begriffe Datenanalyse, Data Mining, Knowledge Discovery sowie die KDD- und CRISP-DM-Prozesse eingeführt. Typische Datenanalyseprojekte lassen sich in mehrere Phasen gliedern: Vorbereitung, Vorverarbeitung, Analyse und Nachbereitung. Die einzelnen Kapitel dieses Buches behandeln die wichtigsten Methoden der Datenvorverarbeitung und -analyse: Daten und Relationen, Datenvorverarbeitung, Visualisierung, Korrelation, Regression, Prognose, Klassifikation und Clustering.

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Literatur

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Authors and Affiliations

  1. Siemens AG, München, Deutschland

    Thomas A. Runkler Prof. Dr.-Ing.

Authors
  1. Thomas A. Runkler Prof. Dr.-Ing.
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Correspondence to Thomas A. Runkler Prof. Dr.-Ing. .

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Runkler, T. (2015). Einführung. In: Data Mining. Computational Intelligence. Springer Vieweg, Wiesbaden. https://doi.org/10.1007/978-3-8348-2171-3_1

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