Artificial Intelligence and Data Mining for Mergers and Acquisitions

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The book proposal presents a modeling framework for Virtual Enterprise focused on process composition by consolidating individual process models into consolidated process model. This framework uses Artificial Intelligence Knowledge Bases and also proposes a Data Mining model using a fuzzy mathematical approach.


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.

Autorentext

Debasis Chanda is Professor of Operations Management and Dean-Academic at MDI Murshidabad, West Bengal, India. He holds a Bachelor of Engineering (Electrical Engineering) from Jadavpur University, Kolkata. He also holds a PGDBM from the Indian institute of Management Calcutta (IIMC) and a PhD (Engineering) from the Department of Computer Science and Engineering, Jadavpur University.

Professor Debasis Chanda brings forth a blend of rich experience in Industry and Academics. He has 20 plus years of cross-functional experience in the Information Technology (IT) Industry including global exposure in Enterprise Architecture Consulting, SOA (Service Oriented Architecture) Consulting, Project Management & Business Development. He also has more than 5 years of experience in the Engineering Industry along with more than 5 years in Academia.

Professor Debasis Chanda's competencies also include Operations start-up as well as Strategizing & Brand Building.


Klappentext

The book proposal presents a modeling framework for Virtual Enterprise focused on process composition by consolidating individual process models into consolidated process model. This framework uses Artificial Intelligence Knowledge Bases and also proposes a Data Mining model using a fuzzy mathematical approach.


Inhalt

1. Introduction 1

2. Scope of the Book 3

3. Review of Related Work 5

4. Fuzzy Datamining Framework for Creation of Virtual Organization 11

5. UML Based Modeling of Business Processes & Discourse on Enterprise Architecture (EA)/Service Oriented Architecture (SOA) 17

6. Knowledge Representation Using Predicate Calculus 127

7. Petri Net Modeling of Business Processes 147

  1. Conclusion 161

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09780367720902
    • Anzahl Seiten 188
    • Herausgeber Chapman and Hall/CRC
    • Größe H254mm x B178mm
    • Jahr 2024
    • EAN 9780367720902
    • Format Kartonierter Einband
    • ISBN 978-0-367-72090-2
    • Veröffentlichung 04.10.2024
    • Titel Artificial Intelligence and Data Mining for Mergers and Acquisitions
    • Autor Debasis Chanda
    • Gewicht 420g
    • Sprache Englisch

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