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Computing Predictive Analytics, Business Intelligence, and Economics: Modeling Techniques with Start-ups and Incubators (Innovation Management and Computing) - Tapa dura

Libro 2 de 3: Innovation Management and Computing
 
9781771887298: Computing Predictive Analytics, Business Intelligence, and Economics: Modeling Techniques with Start-ups and Incubators (Innovation Management and Computing)
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ISBN 10: 177188729X ISBN 13: 9781771887298
Editorial: Apple Academic Press, 2019

Sinopsis

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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Acerca del autor

Dr. Cyrus F. Nourani has a national and international reputation in computer science, artificial intelligence, mathematics, virtual haptic computation, enterprise modeling, decision theory, data sciences, predictive analytics economic games, information technology, and management science. In recent years he has been engaged as a Research Professor at Simon Frasier University in Burnaby, British Columbia, Canada, and at the Technical University of Berlin, Germany, and has been working on research projects in Germany, Sweden, and France.

De la contraportada

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!

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apple Academic Press
Año de publicación
2019
Idioma
Inglés
ISBN 10 
177188729X
ISBN 13 
9781771887298
Encuadernación
Tapa dura
Número de edición
1
Número de páginas
312
Editor
Nourani Cyrus F.
Contacto del fabricante
Taylor and Francis, GPSR Taylor and Francis
gpsr@taylorandfrancis.com

Taylor & Francis Verlag GmbH, Kaufingerstraße 24
München
80331
Alemania

Otras ediciones populares con el mismo título

9781774634196: Computing Predictive Analytics, Business Intelligence, and Economics: Modeling Techniques with Start-ups and Incubators (Innovation Management and Computing)

Edición Destacada

ISBN 10:  1774634198 ISBN 13:  9781774634196
Editorial: APPLE ACADEMIC, 2021
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