Buch, Englisch, 467 Seiten, Format (B × H): 158 mm x 235 mm, Gewicht: 708 g
A Multi-Industry Approach
Buch, Englisch, 467 Seiten, Format (B × H): 158 mm x 235 mm, Gewicht: 708 g
ISBN: 978-1-032-58532-1
Verlag: Taylor & Francis Ltd
This book studies data, analytics, and intelligence using Boolean structure. Chapters dive into the theories, foundations, technologies, and methods of data, analytics, and intelligence.
The primary aim of this book is to convey the theories and technologies of data, analytics, and intelligence with applications to readers based on systematic generalization and specialization. Sun uses the Boolean structure to deconstruct all books and papers related to data, analytics, and intelligence and to reorganize them to reshape the world of big data, data analytics, analytics intelligence, data science, and artificial intelligence. Multi-industry applications in business, management, and decision-making are provided. Cutting-edge theories, technologies, and applications of data, analytics, and intelligence and their integration are also explored. Overall, this book provides original insights on sharing computing, insight computing, platform computing, a calculus of intelligent analytics and intelligent business analytics, meta computing, data analyticizing, DDPP (descriptive, diagnostic, predictive, and prescriptive) computing, and analytics.
This book is a useful resource with multi-industry applications for scientists, engineers, data analysts, educators, and university students.
Zielgruppe
Professional Practice & Development, Professional Reference, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse
Weitere Infos & Material
1. Introduction. 2. Research Methodology. 3. Data. 4. Analytics. 5. Intelligence. 6. Data Intelligence. 7. Data Analytics. 8. Analytics Intelligence. 9. Data, Analytics, and Intelligence: A Unified Approach. 10. Business Intelligence. 11. Conclusion.