£95.00

CRC Press Artificial Intelligence and Data Mining for M&A

Name: CRC Press Artificial Intelligence and Data Mining for M&A
Brand: CRC Press
Price: 95.0 GBP
Availability: InStock

Economics

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Description

Explore advanced technical frameworks in Artificial Intelligence and Data Mining for Mergers and Acquisitions. Published by CRC Press, this book provides a specialized modeling framework for the Virtual Organization with a specific focus on process composition. Readers will examine the application of Predicate Calculus Knowledge Bases and Petri Net-based modeling to navigate complex business environments. The text introduces a Data Mining model that utilizes a fuzzy mathematical approach to facilitate knowledge discovery. By implementing a Knowledge-Based framework, the book offers an all-inclusive knowledge store designed to manage both static and dynamic properties. Through the creation of a dedicated Knowledge Base, the text demonstrates how meaningful inferences are reached in data-driven decision-making. This resource is essential for professionals and students looking to understand the intersection of mathematical modeling and organizational structure.

Key Features

Learn a modeling framework for Virtual Organizations that focuses on process composition to improve organizational structure.

Study the application of Predicate Calculus Knowledge Bases and Petri Net-based modeling for advanced technical analysis.

Utilize a Data Mining model based on a fuzzy mathematical approach designed for effective knowledge discovery.

Access a Knowledge-Based framework that provides an all-inclusive store for managing static and dynamic properties.

Gain insights into Knowledge Base creation and the methods used to arrive at logical inferences.

Product Specifications

Brand: CRC Press
Format: hardcover
ASIN: 1138354732
Category: Books > Subjects > Business, Finance & Law > Economics
Domain: Amazon UK
Release Date: 18 March 2021
Listed Since: 03 July 2018

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CRC Press Artificial Intelligence and Data Mining for M&A

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