Artificial Intelligence and Data Mining for Mergers and Acquisitions
Language: English
Published by Chapman And Hall/CRC, 2024
- Softcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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Add to basketItem description from seller
nach der Bestellung gedruckt Neuware - Printed after ordering - 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.…
Seller Inventory # 9780367720902
- Title
- Artificial Intelligence and Data Mining for Mergers and Acquisitions
- Author
- Debasis Chanda
- Publisher
- Chapman And Hall/CRC
- Publication year
- 2024
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 0367720906
- ISBN 13
- 9780367720902
- Item weight
- 398 grams
- Dimensions
- 254x178x11 mm
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.
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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