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Více informací o knize Data Analysis, Machine Learning and Knowledge Discovery

• Parametry knihy
• Anotace
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Anotace knihy

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.

Parametry knihy

Zařazení knihy Knihy v angličtině Computing & information technology Computer science Artificial intelligence

• Plný název: Data Analysis, Machine Learning and Knowledge Discovery
• Autor: Myra Spiliopoulou, Lars Schmidt-Thieme, Ruth Janning
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 470
• EAN: 9783319015941
• ISBN: 331901594X
• ID: 02006127
• Nakladatelství: Springer International Publishing AG
• Hmotnost: 706 g
• Rozměry: 234 × 160 × 26 mm
• Datum vydání: 27. November 2013

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