Artificial Intelligence and Data Mining for Mergers and Acquisitions

Written By Debasis Chanda
Artificial Intelligence and Data Mining for Mergers and Acquisitions
  • Publsiher : CRC Press
  • Release : 18 March 2021
  • ISBN : 0429755414
  • Pages : 188 pages
  • Rating : /5 from reviews
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Download or read book entitled Artificial Intelligence and Data Mining for Mergers and Acquisitions by author: Debasis Chanda which was release on 18 March 2021 and published by CRC Press with total page 188 pages . This book available in PDF, EPUB and Kindle Format. 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.

Artificial Intelligence and Data Mining for Mergers and Acquisitions

Artificial Intelligence and Data Mining for Mergers and Acquisitions
  • Author : Debasis Chanda
  • Publisher : CRC Press
  • Release Date : 2021-03-18
  • Total pages : 188
  • ISBN : 0429755414
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Summary : 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 ...

Artificial Intelligence and Data Mining in Healthcare

Artificial Intelligence and Data Mining in Healthcare
  • Author : Malek Masmoudi
  • Publisher : Springer Nature
  • Release Date : 2021-05-14
  • Total pages : 212
  • ISBN : 0429755414
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Summary : Read online Artificial Intelligence and Data Mining in Healthcare written by Malek Masmoudi, published by Springer Nature which was released on . Download full Artificial Intelligence and Data Mining in Healthcare Books now! Available in PDF, ePub and Kindle....

Machine Learning and Data Mining in Aerospace Technology

Machine Learning and Data Mining in Aerospace Technology
  • Author : Aboul Ella Hassanien,Ashraf Darwish,Hesham El-Askary
  • Publisher : Springer
  • Release Date : 2019-07-02
  • Total pages : 232
  • ISBN : 0429755414
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Summary : This book explores the main concepts, algorithms, and techniques of Machine Learning and data mining for aerospace technology. Satellites are the ‘eagle eyes’ that allow us to view massive areas of the Earth simultaneously, and can gather more data, more quickly, than tools on the ground. Consequently, the development of ...

Machine Learning and Data Mining for Computer Security

Machine Learning and Data Mining for Computer Security
  • Author : Marcus A. Maloof
  • Publisher : Springer Science & Business Media
  • Release Date : 2006-02-28
  • Total pages : 210
  • ISBN : 0429755414
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Summary : "Machine Learning and Data Mining for Computer Security" provides an overview of the current state of research in machine learning and data mining as it applies to problems in computer security. This book has a strong focus on information processing and combines and extends results from computer security. The first ...

Data Mining

Data Mining
  • Author : Ian H. Witten,Eibe Frank,Mark A. Hall,Christopher J. Pal
  • Publisher : Morgan Kaufmann
  • Release Date : 2016-10-01
  • Total pages : 654
  • ISBN : 0429755414
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Summary : Data Mining: Practical Machine Learning Tools and Techniques, Fourth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated fourth edition of the most acclaimed work on data mining and machine learning teaches ...

Data Mining Practical Machine Learning Tools and Techniques

Data Mining  Practical Machine Learning Tools and Techniques
  • Author : Ian H. Witten,Eibe Frank,Mark A. Hall
  • Publisher : Elsevier
  • Release Date : 2011-02-03
  • Total pages : 664
  • ISBN : 0429755414
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Summary : Data Mining: Practical Machine Learning Tools and Techniques, Third Edition, offers a thorough grounding in machine learning concepts as well as practical advice on applying machine learning tools and techniques in real-world data mining situations. This highly anticipated third edition of the most acclaimed work on data mining and machine ...

Artificial Intelligence in Data Mining

Artificial Intelligence in Data Mining
  • Author : D. Binu,B.R. Rajakumar
  • Publisher : Academic Press
  • Release Date : 2021-05-15
  • Total pages : 270
  • ISBN : 0429755414
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Summary : Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the ...

Advances in Machine Learning and Data Mining for Astronomy

Advances in Machine Learning and Data Mining for Astronomy
  • Author : Michael J. Way,Jeffrey D. Scargle,Kamal M. Ali,Ashok N. Srivastava
  • Publisher : CRC Press
  • Release Date : 2012-03-29
  • Total pages : 744
  • ISBN : 0429755414
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Summary : Advances in Machine Learning and Data Mining for Astronomy documents numerous successful collaborations among computer scientists, statisticians, and astronomers who illustrate the application of state-of-the-art machine learning and data mining techniques in astronomy. Due to the massive amount and complexity of data in most scientific disciplines, the material discussed in ...

Machine Learning and Data Mining in Materials Science

Machine Learning and Data Mining in Materials Science
  • Author : Norbert Huber,Surya R. Kalidindi,Benjamin Klusemann,Christian Johannes Cyron
  • Publisher : Frontiers Media SA
  • Release Date : 2020-04-22
  • Total pages : 212
  • ISBN : 0429755414
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Summary : Read online Machine Learning and Data Mining in Materials Science written by Norbert Huber,Surya R. Kalidindi,Benjamin Klusemann,Christian Johannes Cyron, published by Frontiers Media SA which was released on 2020-04-22. Download full Machine Learning and Data Mining in Materials Science Books now! Available in PDF, ePub and ...

Mathematical Analysis for Machine Learning and Data Mining

Mathematical Analysis for Machine Learning and Data Mining
  • Author : Simovici Dan A
  • Publisher : World Scientific
  • Release Date : 2018-05-21
  • Total pages : 984
  • ISBN : 0429755414
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Summary : This compendium provides a self-contained introduction to mathematical analysis in the field of machine learning and data mining. The mathematical analysis component of the typical mathematical curriculum for computer science students omits these very important ideas and techniques which are indispensable for approaching specialized area of machine learning centered around ...

Principles and Theory for Data Mining and Machine Learning

Principles and Theory for Data Mining and Machine Learning
  • Author : Bertrand Clarke,Ernest Fokoue,Hao Helen Zhang
  • Publisher : Springer Science & Business Media
  • Release Date : 2009-07-21
  • Total pages : 786
  • ISBN : 0429755414
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Summary : Extensive treatment of the most up-to-date topics Provides the theory and concepts behind popular and emerging methods Range of topics drawn from Statistics, Computer Science, and Electrical Engineering...

Textbook of Machine Learning and Data Mining

Textbook of Machine Learning and Data Mining
  • Author : Hiroshi Mamitsuka
  • Publisher : Unknown
  • Release Date : 2018-09-12
  • Total pages : 388
  • ISBN : 0429755414
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Summary : Data-driven approaches, particularly machine learning and data mining, are the main driving force of the current artificial intelligence technology. This book covers a wide variety of methods in machine learning and data mining, dividing them from a viewpoint of data types, which begin with rather simple vectors and end by ...

Machine Learning for Data Mining

Machine Learning for Data Mining
  • Author : Jesus Salcedo
  • Publisher : Packt Publishing Ltd
  • Release Date : 2019-04-30
  • Total pages : 252
  • ISBN : 0429755414
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Summary : Get efficient in performing data mining and machine learning using IBM SPSS Modeler Key Features Learn how to apply machine learning techniques in the field of data science Understand when to use different data mining techniques, how to set up different analyses, and how to interpret the results A step-by-step ...

Statistics Data Mining and Machine Learning in Astronomy

Statistics  Data Mining  and Machine Learning in Astronomy
  • Author : Željko Ivezić,Andrew J. Connolly,Jacob T VanderPlas,Alexander Gray
  • Publisher : Princeton University Press
  • Release Date : 2014-01-12
  • Total pages : 560
  • ISBN : 0429755414
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Summary : As telescopes, detectors, and computers grow ever more powerful, the volume of data at the disposal of astronomers and astrophysicists will enter the petabyte domain, providing accurate measurements for billions of celestial objects. This book provides a comprehensive and accessible introduction to the cutting-edge statistical methods needed to efficiently analyze ...

Machine Learning and Data Mining

Machine Learning and Data Mining
  • Author : Igor Kononenko,Matjaz Kukar
  • Publisher : Elsevier
  • Release Date : 2007-04-30
  • Total pages : 480
  • ISBN : 0429755414
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Summary : Data mining is often referred to by real-time users and software solutions providers as knowledge discovery in databases (KDD). Good data mining practice for business intelligence (the art of turning raw software into meaningful information) is demonstrated by the many new techniques and developments in the conversion of fresh scientific ...