Artificial Intelligence and Data Mining for Mergers and Acquisitions  book cover
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Artificial Intelligence and Data Mining for Mergers and Acquisitions



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ISBN 9781138354739
March 18, 2021 Forthcoming by Chapman and Hall/CRC
304 Pages 233 B/W Illustrations

 
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Book Description

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

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

The book’s features, serving as Advisory for Mergers & Acquisitions of Organizations using Fuzzy Data Mining Framework, as well as the novelty of the Knowledge Based approach for Service Oriented Architecture (SOA) approach and development of Enterprise Architectural model using AI serves a wide audience. The same addresses students of Strategic Management in Business Schools, post-graduate programs in technology institutes, seeking application areas of AI & Data mining, as well as Business / Technology professionals in organizations, aiming to create value through M&As and otherwise.

Table of Contents

Introduction. Introduction. Organization of the book. Scope of the book. Introduction. Objectives of the Book. Definitions. Abbreviations and Notations. Conclusion. Review of Related Work. Introduction. Architecture Centric Methodology. Petri Net Centric Business Process Modeling. UML Centric Business Process Modeling. Knowledge Based Methodology. Fuzzy Logic Based Methodology. Conclusion. Fuzzy Datamining Framework for Creation of Virtual Organization. Introduction. Banking System Case Study: Reports. Introduction to Fuzzy Mathematics. Fuzzy Data Mining Framework. Fuzzy Data Mining Model with Relational Databases. Benefits of Proposed Method. Conclusion. UML Based Modeling of Business Processes & Discourse on Enterprise Architecture (EA) / Service Oriented Architecture (SOA). Introduction. Knowledge Representation using Unified Modeling Language (UML). Discourse on Enterprise Architecture (EA) / Service Oriented Architecture (SOA). Conclusion. Knowledge Representation using Predicate Calculus. Introduction. Process / Service Depiction with Predicate Calculus. Solution Graphs. Process Composition. The Knowledge Base. Multi-use Service. Architecture. Conclusion. Petri Net Modeling of Business Processes. Introduction. Petri Net Based Framework / Architecture. Post-Consolidation Scenario. Petri Net Representation of Predicate Calculus Knowledge Base. Conclusion. Conclusion. Introduction. Improvements Achieved with AI (Knowledge) Based Approach. New Perspectives and Contributions of the Book. Modeling Approaches: Comparison. Benefits of AI Based Approach. Scenarios Where the Framework Can be Applied. References.

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Author(s)

Biography

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.