Computing Predictive Analytics, Business Intelligence, and Economics
eBook - ePub

Computing Predictive Analytics, Business Intelligence, and Economics

Modeling Techniques with Start-ups and Incubators

  1. 294 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Computing Predictive Analytics, Business Intelligence, and Economics

Modeling Techniques with Start-ups and Incubators

Book details
Table of contents
Citations

About This Book

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.

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Yes, you can access Computing Predictive Analytics, Business Intelligence, and Economics by Cyrus F. Nourani, Cyrus F. Nourani in PDF and/or ePUB format, as well as other popular books in Computer Science & Data Mining. We have over one million books available in our catalogue for you to explore.

Information

Year
2019
ISBN
9780429878701
Edition
1

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Innovation Management and Computings
  6. Table of Contents
  7. About the Editor
  8. Contributors
  9. Abbrevations
  10. Preface
  11. 1. University Startup Incubation in Europe’s Startup Metropolis No. 1: The Case of Technische Universität Berlin
  12. 2. Firstbuild: Combining the Innovativeness of a Small Startup with a Large Corporation’s Strengths
  13. 3. The End of Strategic Leadership: Be Extelligent or Extinct
  14. 4. Strategic Decision Trees on Impact Competitive Models
  15. 5. A Framework for Development of Ontology-Based Competency Management System
  16. 6. Sustainable Manufacturing and Services in Industry 4.0: Research Agenda and Directions
  17. 7. Multiplayer Competitive Model Games and Economics Analytics
  18. 8. Silicon Valley: Too Much Success?
  19. 9. Ontology-Based Approach for Representation of Software Requirements
  20. 10. Competitive Model Business Analytics and ERP Open Loop Optimization
  21. 11. Competitive Models, Compatibility Degrees, and Random Sets
  22. 12. Live Graphical Computing Logic, Virtual Trees, and Visualization
  23. 13. Inference Trees, Competitive Models, and Sparse Big Data Heuristics
  24. 14. A Sequent Game Computing Logic: Game Descriptions and Models
  25. Index