Big Data, Data Mining and Data Science

Algorithms, Infrastructures, Management and Security
1. Auflage 2024
ISBN: 978-3-11-134407-2
Verlag: De Gruyter

Buch, Englisch, 340 Seiten, Format (B × H): 170 mm x 240 mm, Gewicht: 708 g

Reihe: ISSN

Through the application of cutting-edge techniques like Big Data, Data Mining, and Data Science, it is possible to extract insights from massive datasets. These methodologies are crucial in enabling informed decision-making and driving transformative advancements across many fields, industries, and domains. This book offers an overview of latest tools, methods and approaches while also highlighting their practical use through various applications and case studies.

Zielgruppe

Libraries, scholars, and professionals studying Big Data, Data Mi

Autoren/Hrsg.

Dimitoglou, George

Deligiannidis, Leonidas

Arabnia, Hamid

Arabnia, Hamid R.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Wirtschaftsinformatik
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit
• Wirtschaftswissenschaften Betriebswirtschaft Wirtschaftsinformatik, SAP, IT-Management

Über Autor(innen)

G. Dimitoglou, Hood Coll.; L. Deligiannidis, W. Inst. of Tech, USA; H.R. Arabnia, U Georgia, Georgia.