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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	August 2016
Genre:	Schulbücher
	bioinformatics / Biostatistics / C / Data Mining / Data Mining and Knowledge Discovery / Economics, finance, business & management / Epidemiology & medical statistics / Expert systems / knowledge-based systems / Life sciences# general issues / Mathematical & statistical software / Mathematical statistics / Mathematics and Statistics / Maths for computer scientists / Probability & statistics / Probability and Statistics in Computer Science / Statistics / Statistics and Computing / Statistics and Computing/Statistics Programs / Statistics for Life Sciences, Medicine, Health Sciences / Statistics in Life Sciences, Medicine, Health Sciences mehr...
ISBN:	9783319252247
EAN-Code:	9783319252247
Verlag:	Springer EN
Einband:	Kartoniert
Sprache:	English
Serie:	Studies in Classification, Data Analysis, and Knowledge Organization
Dimensionen:	H 235 mm / B 155 mm / D
Gewicht:	10175 gr
Seiten:	656
Illustration:	XXVI, 656 p. 171 illus., 32 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen
Zus. Info:	EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025.
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

This book offers a snapshot of the state-of-the-art in classification at the interface between statistics, computer science and application fields. The contributions span a broad spectrum, from theoretical developments to practical applications; they all share a strong computational component. The topics addressed are from the following fields: Statistics and Data Analysis; Machine Learning and Knowledge Discovery; Data Analysis in Marketing; Data Analysis in Finance and Economics; Data Analysis in Medicine and the Life Sciences; Data Analysis in the Social, Behavioural, and Health Care Sciences; Data Analysis in Interdisciplinary Domains; Classification and Subject Indexing in Library and Information Science. The book presents selected papers from the Second European Conference on Data Analysis, held at Jacobs University Bremen in July 2014. This conference unites diverse researchers in the pursuit of a common topic, creating truly unique synergies in the process.