Artificial Intelligence and Data Mining for Mergers and Acquisitions

Artificial Intelligence and Data Mining for Mergers and Acquisitions
Author :
Publisher : CRC Press
Total Pages : 263
Release :
ISBN-10 : 9780429755408
ISBN-13 : 0429755406
Rating : 4/5 (406 Downloads)

Book Synopsis Artificial Intelligence and Data Mining for Mergers and Acquisitions by : Debasis Chanda

Download or read book Artificial Intelligence and Data Mining for Mergers and Acquisitions written by Debasis Chanda and published by CRC Press. This book was released on 2021-03-18 with total page 263 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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