Computing Predictive Analytics, Business Intelligence, and Economics
- Modeling Techniques with Start-ups and Incubators
- Indbinding:
- Paperback
- Sideantal:
- 304
- Udgivet:
- 31. marts 2021
- Størrelse:
- 152x229x0 mm.
- Vægt:
- 453 g.
- 2-3 uger.
- 12. december 2024
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- Adgang til 70.000+ titler
- Ingen binding
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Computing Predictive Analytics, Business Intelligence, and Economics
This volume brings together research and system designs that address the scientific basis and the practical systems design issues that support areas ranging from intelligent business interfaces and predictive analytics to economics modeling. Applications for management science and IT have been of interest areas for business schools and computing experts during recent years. Among the areas that are being treated are modern analytics, heterogeneous computing, business intelligence, ERP (enterprise resource planning), and decision science. Consumers have been pledging their love for data visualizations for a while now, and data is the area being explored, such as B2B and EC (E-commerce), E-business and the Intelligent Web, CRM (customer relationship management), infrastructures, and more. The digitization implications of these many new applications are described and explored in this informative volume.One of BookAuthority's Best New Analytics Books to Read in 2020!
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