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Lieferstatus:	Auf Bestellung (Lieferzeit unbekannt)
Veröffentlichung:	Februar 2026
Genre:	EDV / Informatik
	angewandte informatik / Big Data Applications / Business Intelligence / Computer and Information Systems Applications / Computerhardware / Computers and Education / Control Structures and Microprogramming / Data Analytics / Data and Information Quality / Data Management for Analytics / Data Mining / Data Modeling and Visualization / Data Science / Database Management / decision support systems / Deep Learning / Hybrid Methods / Information Retrieval / Information visualization / Lehrmittel, Lerntechnologien, E-Learning / Machine Learning with Big Data / Neural Network Applications / pattern recognition / Predictive Modelling / Semi-Structured and Unstructured Data / Special Purpose and Application-Based Systems / Statistics Exploratory Data Analysis / text analytics / Wissensbasierte Systeme, Expertensysteme mehr...
ISBN:	9783032179142
EAN-Code:	9783032179142
Verlag:	Springer International Publishing
Einband:	Kartoniert
Sprache:	English
Dimensionen:	H 235 mm / B 155 mm / D
Seiten:	314
Illustration:	XIV, 314 p. 127 illus., 118 illus. in color., farbige Illustrationen, schwarz-weiss 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 constitutes the post publication proceedings of selected papers from the 13th International Conference on Data Management Technologies and Applications, DATA 2024, held in Dijon, France, during July 9–11, 2024. The 11 full papers and 4 short papers included in this book were carefully reviewed and selected from 97 submissions. The focus on relevant trends in current research on Data Science, Technology and Applications, including Data Science, Data Analytics, Data Mining, Deep Learning, Data Modeling and Visualization, Business Intelligence, Predictive Modelling, Big Data, Search and Mining Algorithms over Big Data, Data Representation and Management for Data Analytics, Information Visualization, and Open Data.

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