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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.
This volume presents revised research on data analysis, machine learning, and knowledge discovery, drawing from the 36th annual conference of the German Classification Society (GfKl). The book explores methods and techniques applicable across diverse fields, including web and text mining, marketing, medicine, bioinformatics, and business intelligence. It is a collection of selected papers that underwent revision after being presented at the conference held in Hildesheim, Germany, in August 2012. The content reflects advancements and discussions within these interconnected research areas.
This collection of research papers, stemming from the GfKl conference, likely offers a deep dive into specialized topics within data analysis and machine learning for a technically-minded audience. The focus on revised conference papers suggests a rigorous academic standard, presenting findings that have undergone peer review and refinement. Readers can expect a detailed exploration of methodologies and their applications in fields ranging from bioinformatics to business intelligence. The volume serves as a snapshot of the state of research in these areas as of 2012-2013.
Page Count:
470
Publication Date:
2013-01-01
ISBN-10:
331901594X
ISBN-13:
9783319015941
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