Visualization and Mind Mapping in Artificial Intelligence Books

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Visualization and Mind Mapping in Artificial Intelligence


Visualization and Mind Mapping in Artificial Intelligence
  • Author : José M. Guerrero
  • Publisher : Academic Press
  • Release : 2021-08-15
  • ISBN : 0128201193
  • Language : En, Es, Fr & De
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In the near future, we will see an increase in the development and use of all sorts of AI applications. Some of the more promising areas will be Finance, Healthcare, IoT, Manufacturing, Journalism, and Cybersecurity. Many of these applications generate a great amount of complex information. Natural Language Understanding is one of the most clear examples. Traditional ways of visualizing complex information, namely linear text, web pages and hyperlink based applications, have serious productivity problems. Users need a lot of time to visualize the information and have problems to see the whole picture of the results. Mind mapping is probably the only way of reducing the problems inherent to these traditional ways of visualizing complex information. Most people have no clear idea about the advantages of mind mapping or the problems created by the traditional ways of visualizing complex information. The goal of Visualization in Artificial Intelligence is to provide readers with an introduction to mind mapping, to the problems of using traditional ways of visualizing complex information and as an introduction to mind mapping automation and its integration into Artificial Intelligence applications like NLU and others. As more applications of Artificial Intelligence are developed in the near future, the need for the improvement of the visualization of the information generated will increase exponentially. Information overload will soon also happen in AI applications. This will diminish the advantages of using AI. Author José Maria Guerrero is a long-time expert in mind mapping and visualization techniques. In this book, he introduces readers to a technique called MindManager that can considerably reduce the problems associated with the interpretation of complex information generated by Artificial Intelligence software. Provides coverage of the fundamentals of mind mapping and visualization applied to Artificial Intelligence applications Includes coverage of the scientific bases for mind mapping for the visualization of complex information Introduces the author's MindManager toolkit for the readers to use in development of new visualization and mind mapping techniques Includes case studies and real-world applications of MindManager for AI applications, including examples using IBM Watson NLU

Data Democracy


Data Democracy
  • Author : Feras A. Batarseh
  • Publisher : Academic Press
  • Release : 2020-01-21
  • ISBN : 9780128189399
  • Language : En, Es, Fr & De
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Data Democracy: At the Nexus of Artificial Intelligence, Software Development, and Knowledge Engineering provides a manifesto to data democracy. After reading the chapters of this book, you are informed and suitably warned! You are already part of the data republic, and you (and all of us) need to ensure that our data fall in the right hands. Everything you click, buy, swipe, try, sell, drive, or fly is a data point. But who owns the data? At this point, not you! You do not even have access to most of it. The next best empire of our planet is one who owns and controls the world’s best dataset. If you consume or create data, if you are a citizen of the data republic (willingly or grudgingly), and if you are interested in making a decision or finding the truth through data-driven analysis, this book is for you. A group of experts, academics, data science researchers, and industry practitioners gathered to write this manifesto about data democracy. The future of the data republic, life within a data democracy, and our digital freedoms An in-depth analysis of open science, open data, open source software, and their future challenges A comprehensive review of data democracy's implications within domains such as: healthcare, space exploration, earth sciences, business, and psychology The democratization of Artificial Intelligence (AI), and data issues such as: Bias, imbalance, context, and knowledge extraction A systematic review of AI methods applied to software engineering problems

Knowledge and Information Visualization


Knowledge and Information Visualization
  • Author : Sigmar-Olaf Tergan
  • Publisher : Springer
  • Release : 2005-06-28
  • ISBN : 9783540319627
  • Language : En, Es, Fr & De
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formation. The basic ideas underlying knowledge visualization and information vi- alization are outlined. In a short preview of the contributions of this volume, the idea behind each approach and its contribution to the goals of the book are outlined. 2 The Basic Concepts of the Book Three basic concepts are the focus of this book: "data", "information", and "kno- edge". There have been numerous attempts to define the terms "data", "information", and "knowledge", among them, the OTEC Homepage "Data, Information, Kno- edge, and Wisdom" (Bellinger, Castro, & Mills, see http://www.syste- thinking.org/dikw/dikw.htm): Data are raw. They are symbols or isolated and non-interpreted facts. Data rep- sent a fact or statement of event without any relation to other data. Data simply exists and has no significance beyond its existence (in and of itself). It can exist in any form, usable or not. It does not have meaning of itself.

Artificial Intelligence for Business Optimization


Artificial Intelligence for Business Optimization
  • Author : Bhuvan Unhelkar
  • Publisher : CRC Press
  • Release : 2021-08-10
  • ISBN : 9781000409475
  • Language : En, Es, Fr & De
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This is primarily a business book that discusses the research and associated practical application of artificial intelligence (AI) and machine learning (ML) in order to achieve business optimization (BO). AI comprises a wide range of technologies, databases, algorithms, and devices. This book aims for a holistic approach to AI by focusing on developing business strategies that will not only automate but also optimize business functions, processes, and people’s behaviors. Artificial Intelligence for Business Optimization: Research and Applications explores AI and ML from a business viewpoint with the key purpose of enhancing customer value. It applies research methods and fundamentals from a practitioner’s viewpoint and incorporates discussions around risks and changes associated with the utilization of AI in business. Furthermore, governance risks, privacy, and security are also addressed in this book to ensure compliance with AI/ML applications. Readers should find direct and practical applications of the discussions in this book quite useful in their work environment. Researchers will find many ideas to further explore the applications of AI to business.

Artificial Intelligence in Education


Artificial Intelligence in Education
  • Author : Ulrich Hoppe
  • Publisher : IOS Press
  • Release : 2003
  • ISBN : 1586033565
  • Language : En, Es, Fr & De
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This work reports on research into intelligent systems, models, and architectures for educational computing applications. It covers a wide range of advanced information and communication and computational methods applied to education and training.