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Artificial Intelligence and Data Mining for Mergers and Acquisitions

Debasis Chanda
4.9/5 (15946 ratings)
Description:The goal of this work is to present a modeling framework for Virtual Enterprise focused on process composition by consolidating individual process models into consolidated process model. This framework uses Artificial Intelligence Knowledge Bases and also proposes a Data Mining model using a fuzzy mathematical approach.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Artificial Intelligence and Data Mining for Mergers and Acquisitions. To get started finding Artificial Intelligence and Data Mining for Mergers and Acquisitions, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0429755414

Artificial Intelligence and Data Mining for Mergers and Acquisitions

Debasis Chanda
4.4/5 (1290744 ratings)
Description: The goal of this work is to present a modeling framework for Virtual Enterprise focused on process composition by consolidating individual process models into consolidated process model. This framework uses Artificial Intelligence Knowledge Bases and also proposes a Data Mining model using a fuzzy mathematical approach.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Artificial Intelligence and Data Mining for Mergers and Acquisitions. To get started finding Artificial Intelligence and Data Mining for Mergers and Acquisitions, you are right to find our website which has a comprehensive collection of manuals listed.
Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
Format
PDF, EPUB & Kindle Edition
Publisher
Release
ISBN
0429755414
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