Computing Predictive Analytics, Business Intelligence, and Economics
Modeling Techniques with Start-ups and Incubators
1st Edition
Published on 26. June 2019
312 pages
978-0-429-87870-1 (ISBN)
Description
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.
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.
Reviews / Votes
One of BookAuthority's Best New Analytics Books to Read in 2020!More details
Series
Edition
1. Auflage
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Product notice
Reflowable
Illustrations
9 Tables, black and white; 13 Illustrations, color; 39 Illustrations, black and white
ISBN-13
978-0-429-87870-1 (9780429878701)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Cyrus F. Nourani
Computing Predictive Analytics, Business Intelligence, and Economics
Modeling Techniques with Start-ups and Incubators
Book
03/2021
1st Edition
Apple Academic Press Inc.
€109.70
Shipment within 3-4 weeks
Cyrus F. Nourani
Computing Predictive Analytics, Business Intelligence, and Economics
Modeling Techniques with Start-ups and Incubators
Book
06/2019
1st Edition
Apple Academic Press Inc.
€158.60
Shipment within 3-4 weeks
Person
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.
Content
1. University Start-Up Incubation in Europe's Start-Up Metropolis No. 1: The Case of Technische Universitaet Berlin 2. First Build: Combining the Innovativeness of a Small Start-Up with a Large Corporation's Strengths 3. The End of Strategic Leadership: Be Extelligent or Extinct 4. Strategic Decision Trees on Impact Competitive Models 5. A Framework for Development of Ontology-Based Competency Management System 6. Sustainable Manufacturing and Services in Industry 4.0: Research Agenda and Directions 7. Multiplayer Competitive Model Games and Economics Analytics 8. Silicon Valley's Paradox of Success: A Katrina Effect 9. Ontology-Based Approach for Representation of Software Requirements 10. Competitive Model Business Analytics and ERP Open Loop Optimization 11. Competitive Models, Compatibility Degrees, and Random Sets 12. Live Graphical Computing Logic, Virtual Trees, and Visualization 13. Live Graphical Computing Logic, Virtual Trees, and Visualization
