Data Analysis, Machine Learning and Knowledge Discovery / Studies in Classification, Data Analysis, and Knowledge Organization (PDF)
(Sprache: Englisch)
Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of...
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Data analysis, machine learning and knowledge discovery are research areas at the intersection of computer science, artificial intelligence, mathematics and statistics. They cover general methods and techniques that can be applied to a vast set of applications such as web and text mining, marketing, medicine, bioinformatics and business intelligence. This volume contains the revised versions of selected papers in the field of data analysis, machine learning and knowledge discovery presented during the 36th annual conference of the German Classification Society (GfKl). The conference was held at the University of Hildesheim (Germany) in August 2012. ¿
Bibliographische Angaben
- 2013, 2014, 470 Seiten, Englisch
- Herausgegeben: Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319015958
- ISBN-13: 9783319015958
- Erscheinungsdatum: 26.11.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 8.47 MB
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Sprache:
Englisch
Pressezitat
From the book reviews:“The book is organized in seven parts … . The book is a very interesting collection of papers describing various approaches of data mining and machine learning on aspects from bioinformatics to music classification. It is an excellent addition to the field and it can be used as starting point for projects from undergraduate to post-graduate level.” (Irina Ioana Mohorianu, zbMATH, Vol. 1301, 2015)
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