Artificial Intelligence and Data Mining for Mergers and Acquisitions
eBook - ePub

Artificial Intelligence and Data Mining for Mergers and Acquisitions

  1. 304 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Artificial Intelligence and Data Mining for Mergers and Acquisitions

Book details
Table of contents
Citations

About This Book

The goal of this book is to present a modeling framework for the Virtual Organization that is focused on process composition. This framework uses Predicate Calculus Knowledge Bases. Petri Net-based modeling is also discussed. In this context, a Data Mining model is proposed, using a fuzzy mathematical approach, aiming to discover knowledge.

A Knowledge-Based framework has been proposed in order to present an all-inclusive knowledge store for static and dynamic properties. Toward this direction, a Knowledge Base is created, and inferences are arrived at.

This book features an advisory tool for Mergers and Acquisitions of Organizations using the Fuzzy Data Mining Framework and highlights the novelty of a Knowledge-Based Service-Oriented Architecture approach and development of an Enterprise Architectural model using AI that serves a wide audience.

Students of Strategic Management in business schools and postgraduate programs in technology institutes seeking application areas of AI and Data Mining, as well as business/technology professionals in organizations aiming to create value through Mergers and Acquisitions and elsewhere, will benefit from the reading of this book.

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Yes, you can access Artificial Intelligence and Data Mining for Mergers and Acquisitions by Debasis Chanda in PDF and/or ePUB format, as well as other popular books in Business & Management. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2021
ISBN
9780429755408
Edition
1
Topic
Business
Subtopic
Management
Index
Business

Table of contents

  1. Cover
  2. Half Title
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Table of Contents
  7. Preface
  8. Acknowledgments
  9. About the Author
  10. Chapter 1: Introduction
  11. Chapter 2: Scope of the Book
  12. Chapter 3: Review of Related Work
  13. Chapter 4: Fuzzy Datamining Framework for Creation of Virtual Organization
  14. Chapter 5: UML Based Modeling of Business Processes & Discourse on Enterprise Architecture (EA)/Service Oriented Architecture (SOA)
  15. Chapter 6: Knowledge Representation Using Predicate Calculus
  16. Chapter 7: Petri Net Modeling of Business Processes
  17. Chapter 8: Conclusion
  18. References
  19. Index