£95.00

CRC Press Artificial Intelligence and Data Mining for M&A

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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

Format
hardcover
Domain
Amazon UK
Release Date
18 March 2021
Listed Since
03 July 2018

Barcode

No barcode data available

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