Data Analysis and Related Applications 3
Yiannis Dimotikalis (Hrsg.), Christos H. Skiadas (Hrsg.)
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Naturwissenschaften, Medizin, Informatik, Technik / Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik
Beschreibung
The book is a collective work by a number of leading scientists, analysts, engineers, mathematicians and statisticians who have been working at the forefront of data analysis and related applications, arising from data science, operations research, engineering, machine learning or statistics. The chapters of this collaborative work represent a cross-section of current research interests in the above scientific areas. The collected material has been divided into appropriate sections to provide the reader with both theoretical and applied information on data analysis methods, models and techniques, along with appropriate applications. The published data analysis methodology includes the updated state-of-the-art rapidly developed theory and applications of data expansion, both of which go through outstanding changes nowadays. New approaches are expected to deliver and have been developed, including Artificial Intelligence.
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Data Mining u. Knowledge Discovery, Computer Science, Statistik, Data Analysis, Data Processing, Datenverarbeitung im Bauwesen, Informatik, Civil Engineering & Construction, Datenanalyse, Data Mining & Knowledge Discovery, Statistics, Bauingenieur- u. Bauwesen