Computing Predictive Analytics, Business Intelligence, and Economics: Modeling Techniques with Startups and Incubators (Innovation Management and Computing)

Cyrus F. Nourani

ISBN 10: 177188729X / ISBN 13: 9781771887298

Published by Apple Academic & CRC Press, 2019

About this Item

Hardcover, xviii + 286 pages, NOT ex-library. Book looks unread, clean and bright throughout with unmarked text, free of inscriptions and stamps, firmly bound. Gentle external handling wear. Issued without a dust jacket. -- "This volume brings together research and system designs that address the scientific basis and the practical 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." -- Contents: 1. University Startup Incubation in Europe's Startup Metropolis No. 1: The Case of Technische Universität Berlin / Kristina Fajga & Jan Kratzer; 2. FirstBuild: Combining the Innovativeness of a Small Startup with a Large Corporation's Strengths / Sverker Alänge & Annika Steiber; 3. The End of Strategic Leadership: Be Extelligent or Extinct / Rob Van Kranenburg; 4. Strategic Decision Trees on Impact Competitive Models / Cyrus F. Nourani & Codrina Lauth; 5. A Framework for Development of Ontology-Based Competency Management System / Ilona Paweloszek; 6. Sustainable Manufacturing and Services in Industry 4.0: Research Agenda and Directions / Pankaj Madan, Rajat Agarwal & Sudhanshu Joshi; 7. Multiplayer Competitive Model Games and Economics Analytics / Cyrus F. Nourani & Oliver Schulte; 8. Silicon Valley: Too Much Success? / Henry Etzkowitz & Annika Steiber; 9. Ontology-Based Approach for Representation of Software Requirements / Chellammal Surianarayanan, Deepa Vijay & Gopinath Ganapathy; 10. Competitive Model Business Analytics and ERP Open Loop Optimization / Cyrus F. Nourani; 11. Competitive Models, Compatibility Degrees, and Random Sets / Cyrus F. Nourani; 12. Live Graphical Computing Logic, Virtual Trees, and Visualization / Cyrus F. Nourani; 13. Inference Trees, Competitive Models, and Sparse Big Data Heuristics / Cyrus F. Nourani & Johannes Fähndrich; 14. A Sequent Game Computing Logic: Game Descriptions and Models / Cyrus F. Nourani & Oliver Schulte; Index.

Seller Inventory # 011274

Bibliographic Details

• Title: Computing Predictive Analytics, Business Intelligence, and Economics: Modeling Techniques with Startups and Incubators (Innovation Management and Computing)
• Publisher: Apple Academic & CRC Press
• Publication Date: 2019
• Language: English
• ISBN 10: 177188729X
• ISBN 13: 9781771887298
• Binding: Hardcover
• Edition: 1st Edition
• Condition: Near Fine

About this title

Synopsis

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!

About the Author

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.