Artificial Intelligence Marketing and Predicting Consumer Choice

Artificial Intelligence Marketing and Predicting Consumer Choice
Author: Steven Struhl
Publsiher: Kogan Page Publishers
Total Pages: 272
Release: 2017-04-03
ISBN: 0749479566
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Artificial Intelligence Marketing and Predicting Consumer Choice Book Excerpt:

The ability to predict consumer choice is a fundamental aspect to success for any business. In the context of artificial intelligence marketing, there are a wide array of predictive analytic techniques available to achieve this purpose, each with its own unique advantages and disadvantages. Artificial Intelligence Marketing and Predicting Consumer Choice serves to integrate these widely disparate approaches, and show the strengths, weaknesses, and best applications of each. It provides a bridge between the person who must apply or learn these problem-solving methods and the community of experts who do the actual analysis. It is also a practical and accessible guide to the many remarkable advances that have been recently made in this fascinating field. Online resources include bonus chapters on AI, ensembles and neural nets, and finishing experiments, plus single and multiple product simulators.

Machine Learning and Artificial Intelligence in Marketing and Sales

Machine Learning and Artificial Intelligence in Marketing and Sales
Author: Niladri Syam,Rajeeve Kaul
Publsiher: Emerald Group Publishing
Total Pages: 284
Release: 2021-03-10
ISBN: 1800438826
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Machine Learning and Artificial Intelligence in Marketing and Sales Book Excerpt:

Machine Learning and Artificial Intelligence in Marketing and Sales explores the ideas, and the statistical and mathematical concepts, behind Artificial Intelligence (AI) and machine learning models, as applied to marketing and sales, without getting lost in the details of mathematical derivations and computer programming.

Advances in Artificial Intelligence based Technologies

Advances in Artificial Intelligence based Technologies
Author: Maria Virvou,George A. Tsihrintzis,Lefteri H. Tsoukalas,Lakhmi C. Jain
Publsiher: Springer Nature
Total Pages: 237
Release: 2021-11-03
ISBN: 3030805719
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence based Technologies Book Excerpt:

With the 4th Industrial Revolution ongoing and human societal organization being restructured into, so-called, “Society 5.0”, the field of Artificial Intelligence and related technologies is growing continuously and rapidly, developing in both itself and towards applications in many other disciplines. Researchers worldwide aim at incorporating cognitive abilities into machines, such as learning and problem solving. When machines and software systems have been enhanced with Artificial Intelligence components, they become better and more efficient at performing tasks. Consequently, Artificial Intelligence stands out as a research discipline due to its worldwide pace of growth in both theoretical advances and areas of application, while achieving very high rates of success and promising major impact in science, technology and society. The book at hand aims at exposing its readers to some of the most significant Advances in Artificial Intelligence Theory, Tools and Methodologies as well as Artificial Intelligence-based Applications and Services. The book consists of an editorial note and an additional eleven (11) chapters, all invited from authors who work on the corresponding chapter theme and are recognized for their significant research contributions. In more detail, the chapters in the book are organized into three parts, namely (i) Advances in Artificial Intelligence Tools and Methodologies, (ii) Advances in Artificial Intelligence-based Applications and Services, and (iii) Theoretical Advances in Computation and System Modeling. This research book is directed towards professors, researchers, scientists, engineers and students in Artificial Intelligence-related disciplines. It is also directed towards readers who come from other disciplines and are interested in becoming versed in some of the most recent Artificial Intelligence-based technologies. An extensive list of bibliographic references at the end of each chapter guides the readers to probe further into the application areas of interest to them.

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing
Author: Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
Publsiher: Springer Nature
Total Pages: 534
Release: 2020-10-20
ISBN: 3030615340
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Soft Computing Book Excerpt:

The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions. The papers included in the first volume are organized in the following six parts: ​neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; bioinformatics, biometrics and medical applications; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following four parts: computer vision, image and speech analysis; data mining; various problems of artificial intelligence; agent systems, robotics and control. *The conference was held virtually due to the COVID-19 pandemic.

Smart Computing

Smart Computing
Author: Mohammad Ayoub Khan,Sanjay Gairola,Bhola Jha,Pushkar Praveen
Publsiher: CRC Press
Total Pages: 926
Release: 2021-06-22
ISBN: 1000382567
Category: Computers
Language: EN, FR, DE, ES & NL

Smart Computing Book Excerpt:

The field of SMART technologies is an interdependent discipline. It involves the latest burning issues ranging from machine learning, cloud computing, optimisations, modelling techniques, Internet of Things, data analytics, and Smart Grids among others, that are all new fields. It is an applied and multi-disciplinary subject with a focus on Specific, Measurable, Achievable, Realistic & Timely system operations combined with Machine intelligence & Real-Time computing. It is not possible for any one person to comprehensively cover all aspects relevant to SMART Computing in a limited-extent work. Therefore, these conference proceedings address various issues through the deliberations by distinguished Professors and researchers. The SMARTCOM 2020 proceedings contain tracks dedicated to different areas of smart technologies such as Smart System and Future Internet, Machine Intelligence and Data Science, Real-Time and VLSI Systems, Communication and Automation Systems. The proceedings can be used as an advanced reference for research and for courses in smart technologies taught at graduate level.

Advances in Artificial Intelligence Software and Systems Engineering

Advances in Artificial Intelligence  Software and Systems Engineering
Author: Tareq Z. Ahram,Waldemar Karwowski,Jay Kalra
Publsiher: Springer Nature
Total Pages: 535
Release: 2021-07-07
ISBN: 3030806243
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Advances in Artificial Intelligence Software and Systems Engineering Book Excerpt:

This book addresses emerging issues concerning the integration of artificial intelligence systems in our daily lives. It focuses on the cognitive, visual, social and analytical aspects of computing and intelligent technologies, and highlights ways to improve the acceptance, effectiveness, and efficiency of said technologies. Topics such as responsibility, integration and training are discussed throughout. The book also reports on the latest advances in systems engineering, with a focus on societal challenges and next-generation systems and applications for meeting them. Further, it covers some cutting-edge issues in energy, including intelligent control systems for power plant, and technology acceptance models. Based on the AHFE 2021 Conferences on Human Factors in Software and Systems Engineering, Artificial Intelligence and Social Computing, and Energy, held virtually on 25–29 July, 2021, from USA, this book provides readers with extensive information on current research and future challenges in these fields, together with practical insights into the development of innovative services for various purposes.

The Impact of Artificial Intelligence on Governance Economics and Finance Volume 2

The Impact of Artificial Intelligence on Governance  Economics and Finance  Volume 2
Author: Sezer Bozkuş Kahyaoğlu
Publsiher: Springer Nature
Total Pages: 135
Release: 2022
ISBN: 9811689970
Category: Electronic Book
Language: EN, FR, DE, ES & NL

The Impact of Artificial Intelligence on Governance Economics and Finance Volume 2 Book Excerpt:

Anticipatory Systems Humans Meet Artificial Intelligence

Anticipatory Systems  Humans Meet Artificial Intelligence
Author: Mu-Yen Chen,Edwin Lughofer,Jose De Jesus Rubio,Yenchun Jim Wu
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2021-09-13
ISBN: 2889712885
Category: Science
Language: EN, FR, DE, ES & NL

Anticipatory Systems Humans Meet Artificial Intelligence Book Excerpt:

Emerging Research in Artificial Intelligence and Computational Intelligence

Emerging Research in Artificial Intelligence and Computational Intelligence
Author: Jingsheng Lei,Fu Lee Wang,Hepu Deng,Duoqian Miao
Publsiher: Springer
Total Pages: 518
Release: 2012-10-05
ISBN: 364234240X
Category: Computers
Language: EN, FR, DE, ES & NL

Emerging Research in Artificial Intelligence and Computational Intelligence Book Excerpt:

This book constitutes the refereed proceedings of the International Conference on Artificial Intelligence and Computational Intelligence, AICI 2012, held in Chengdu, China, in October 2012. The 163 revised full papers presented were carefully reviewed and selected from 724 submissions. The papers are organized in topical sections on applications of artificial intelligence; applications of computational intelligence; data mining and knowledge discovering; evolution strategy; intelligent image processing; machine learning; neural networks; pattern recognition.

Fuzzy Sets in Management Economics and Marketing

Fuzzy Sets in Management  Economics  and Marketing
Author: Panos M. Pardalos,Constantin Zopounidis,George Baourakis
Publsiher: World Scientific
Total Pages: 284
Release: 2001
ISBN: 9789812810892
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Fuzzy Sets in Management Economics and Marketing Book Excerpt:

The rapid changes that have taken place globally on the economic, social and business fronts characterized the 20th century. The magnitude of these changes has formed an extremely complex and unpredictable decision-making framework, which is difficult to model through traditional approaches. The main purpose of this book is to present the most recent advances in the development of innovative techniques for managing the uncertainty that prevails in the global economic and management environments. These techniques originate mainly from fuzzy sets theory. However, the book also explores the integration of fuzzy sets with other decision support and modeling disciplines, such as multicriteria decision aid, neural networks, genetic algorithms, machine learning, chaos theory, etc. The presentation of the advances in these fields and their real world applications adds a new perspective to the broad fields of management science and economics. Contents: Decision Making, Management and Marketing: Algorithms for Orderly Structuring of Financial OC ObjectsOCO (J Gil-Aluja); A Fuzzy Goal Programming Model for Evaluating a Hospital Service Performance (M Arenas et al.); A Group Decision Making Method Using Fuzzy Triangular Numbers (J L Garc a-Lapresta et al.); Developing Sorting Models Using Preference Disaggregation Analysis: An Experimental Investigation (M Doumpos & C Zopounidis); Stock Markets and Portfolio Management: The Causality Between Interest Rate, Exchange Rate and Stock Price in Emerging Markets: The Case of the Jakarta Stock Exchange (J Gupta et al.); Fuzzy Cognitive Maps in Stock Market (D Koulouriotis et al.); Neural Network vs Linear Models of Stock Returns: An Application to the UK and German Stock Market Indices (A Kanas); Corporate Finance and Banking Management: Expertons and Behaviour of Companies with Regard to the Adequacy Between Business Decisions and Objectives (A Couturier & B Fioleau); Multiple Fuzzy IRR in the Financial Decision Environment (S F Gonzilez et al.); An Automated Knowledge Generation Approach for Managing Credit Scoring Problems (M Michalopoulos et al.); and other papers. Readership: Financial managers, economists, management scientists and computer scientists."

Soft Computing in Economics and Finance

Soft Computing in Economics and Finance
Author: Ludmila Dymowa
Publsiher: Springer Science & Business Media
Total Pages: 295
Release: 2011-01-21
ISBN: 3642177190
Category: Technology & Engineering
Language: EN, FR, DE, ES & NL

Soft Computing in Economics and Finance Book Excerpt:

Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reasoning for smart web shopping, fuzzy scheduling and logistic. An essential feature of economic and financial problems it that there are always at least two criteria to be taken into account: profit maximization and risk minimization. Therefore, the economic and financial problems are multiple criteria ones. In this book, a new systematization of the problems of multiple criteria decision making is proposed which allows the author to reveal unsolved problems. The solutions of them are presented as well and implemented to deal with some important real-world problems such as investment project’s evaluation, tool steel material selection problem, stock screening and fuzzy logistic. It is well known that the best results in real -world applications can be obtained using the synthesis of modern methods of soft computing. Therefore, the developed by the author new approach to building effective stock trading systems, based on the synthesis of fuzzy logic and the Dempster-Shafer theory, seems to be a considerable contribution to the application of soft computing method in economics and finance. An important problem of capital budgeting is the fuzzy evaluation of the Internal Rate of Return. In this book, this problem is solved using a new method which makes it possible to solve linear and nonlinear interval and fuzzy equations and systems of them. The developed new method allows the author to obtain an effective solution of the Leontjev’s input-output problem in the interval setting.

The Digital Supply Chain

The Digital Supply Chain
Author: Bart L. MacCarthy,Dmitry Ivanov
Publsiher: Elsevier
Total Pages: 464
Release: 2022-06-24
ISBN: 0323916155
Category: Transportation
Language: EN, FR, DE, ES & NL

The Digital Supply Chain Book Excerpt:

The Digital Supply Chain is a thorough investigation of the underpinning technologies, systems, platforms and models that enable the design, management, and control of digitally connected supply chains. The book examines the origin, emergence and building blocks of the Digital Supply Chain, showing how and where the virtual and physical supply chain worlds interact. It reviews the enabling technologies that underpin digitally controlled supply chains and examines how the discipline of supply chain management is affected by enhanced digital connectivity, discussing purchasing and procurement, supply chain traceability, performance management, and supply chain cyber security. The book provides a rich set of cases on current digital practices and challenges across a range of industrial and business sectors including the retail, textiles and clothing, the automotive industry, food, shipping and international logistics, and SMEs. It concludes with research frontiers, discussing network science for supply chain analysis, challenges in Blockchain applications and in digital supply chain surveillance, as well as the need to re-conceptualize supply chain strategies for digitally transformed supply chains. Covers both theoretical and practical points-of-view Contains material that readers from different backgrounds and disciplines will find informative Examines digital practices and challenges in-depth across a wide range of sectors Provides up-to-date, critical insights on the design, management and control of digitally connected supply chains Written by experts with strong backgrounds in the field

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
Author: John MacIntyre,Ilias Maglogiannis,Lazaros Iliadis,Elias Pimenidis
Publsiher: Springer
Total Pages: 244
Release: 2019-05-15
ISBN: 3030199096
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications and Innovations Book Excerpt:

This book constitutes the refereed proceedings of two International Workshops held as parallel events of the 15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019, in Hersonissos, Crete, Greece, in May 2019: the 8th Mining Humanistic Data Workshop, MHDW 2019, and the 4th Workshop on 5G-Putting Intelligence to the Network Edge, 5G-PINE 2019. The 6 full papers and 4 short papers presented at MHDW 2019 were carefully reviewed and selected from 13 submissions; out of the 14 papers submitted to 5G-PINE 2019, 6 were accepted as full papers and 1 as short paper. The MHDW papers focus on the application of innovative as well as existing data matching, fusion and mining and knowledge discovery and management techniques (such as decision rules, decision trees, association rules, ontologies and alignments, clustering, filtering, learning, classifier systems, neural networks, support vector machines, preprocessing, post processing, feature selection, visualization techniques) to data derived from all areas of humanistic sciences, e.g., linguistic, historical, behavioral, psychological, artistic, musical, educational, social, and ubiquitous computing and bioinformatics. The papers presented at 5G-PINE focus on several innovative findings coming directly from modern European research in the area of modern 5G telecommunications infrastructures and related innovative services and cover a wide variety of technical and business aspects promoting options for growth and development.

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry
Author: Chkoniya, Valentina
Publsiher: IGI Global
Total Pages: 653
Release: 2021-06-25
ISBN: 1799869865
Category: Computers
Language: EN, FR, DE, ES & NL

Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry Book Excerpt:

The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.

Artificial Intelligence and Ophthalmology

Artificial Intelligence and Ophthalmology
Author: Parul Ichhpujani,Sahil Thakur
Publsiher: Springer Nature
Total Pages: 150
Release: 2021-04-22
ISBN: 981160634X
Category: Medical
Language: EN, FR, DE, ES & NL

Artificial Intelligence and Ophthalmology Book Excerpt:

The book helps to explore the vast expanse of artificial intelligence-based scientific content that has been published in the last few years. Ophthalmology has recently undergone a silent digital revolution, with machine learning and deep learning algorithms consistently outperforming human graders in studies published across the globe. It is high time that a resource that breaks this information behemoth into easily digestible bits comes to the fore. This book simplifies the complex mechanics of algorithms used in ophthalmology and vision science applications. It also tries to address potential ethical issues with machines entering our clinics and patients’ lives. Overall it is essential reading for ophthalmologists/eye care professionals interested in artificial intelligence and everyone who is looking for a deep dive into the exciting world of digital medicine.

Artificial Intelligence and the Future of Defense

Artificial Intelligence and the Future of Defense
Author: Stephan De Spiegeleire,Matthijs Maas,Tim Sweijs
Publsiher: The Hague Centre for Strategic Studies
Total Pages: 140
Release: 2017-05-17
ISBN: 9492102544
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence and the Future of Defense Book Excerpt:

Artificial intelligence (AI) is on everybody’s minds these days. Most of the world’s leading companies are making massive investments in it. Governments are scrambling to catch up. Every single one of us who uses Google Search or any of the new digital assistants on our smartphones has witnessed first-hand how quickly these developments now go. Many analysts foresee truly disruptive changes in education, employment, health, knowledge generation, mobility, etc. But what will AI mean for defense and security? In a new study HCSS offers a unique perspective on this question. Most studies to date quickly jump from AI to autonomous (mostly weapon) systems. They anticipate future armed forces that mostly resemble today’s armed forces, engaging in fairly similar types of activities with a still primarily industrial-kinetic capability bundle that would increasingly be AI-augmented. The authors of this study argue that AI may have a far more transformational impact on defense and security whereby new incarnations of ‘armed force’ start doing different things in novel ways. The report sketches a much broader option space within which defense and security organizations (DSOs) may wish to invest in successive generations of AI technologies. It suggests that some of the most promising investment opportunities to start generating the sustainable security effects that our polities, societies and economies expect may lie in in the realms of prevention and resilience. Also in those areas any large-scale application of AI will have to result from a preliminary open-minded (on all sides) public debate on its legal, ethical and privacy implications. The authors submit, however, that such a debate would be more fruitful than the current heated discussions about ‘killer drones’ or robots. Finally, the study suggests that the advent of artificial super-intelligence (i.e. AI that is superior across the board to human intelligence), which many experts now put firmly within the longer-term planning horizons of our DSOs, presents us with unprecedented risks but also opportunities that we have to start to explore. The report contains an overview of the role that ‘intelligence’ - the computational part of the ability to achieve goals in the world - has played in defense and security throughout human history; a primer on AI (what it is, where it comes from and where it stands today - in both civilian and military contexts); a discussion of the broad option space for DSOs it opens up; 12 illustrative use cases across that option space; and a set of recommendations for - especially - small- and medium sized defense and security organizations.

Impact of Artificial Intelligence on Organizational Transformation

Impact of Artificial Intelligence on Organizational Transformation
Author: S. Balamurugan,Sonal Pathak,Anupriya Jain,Sachin Gupta,Sachin Sharma,Sonia Duggal
Publsiher: John Wiley & Sons
Total Pages: 448
Release: 2022-01-20
ISBN: 1119710278
Category: Computers
Language: EN, FR, DE, ES & NL

Impact of Artificial Intelligence on Organizational Transformation Book Excerpt:

IMPACT OF ARTIFICIAL INTELLIGENCE ON ORGANIZATIONAL TRANSFORMATION Discusses the impact of AI on organizational transformation which is a mix of computational techniques and management practices, with in-depth analysis about the role of automation & data management, and strategic management in relation to human capital, procurement & production, finance, and marketing. The impact of AI in restructuring organizational processes is a combination of management practices and computational technology. This book covers the areas like artificial intelligence & its impact on professions, as well as machine learning algorithms and technologies. The context of applications of AI in business process innovation primarily includes new business models, AI readiness and maturity at the organizational, technological, financial, and cultural levels. The book has extensive details on machine learning and the applications such as robotics, blockchain, Internet of Things. Also discussed are the influence of AI on financial strategies and policies, human skills & values, procurement innovation, production innovation, AI in marketing & sales platforms. Audience Readers include those working in artificial intelligence, business management studies, technology engineers, senior executives, and human resource managers in all types of business.

Re imagining Diffusion and Adoption of Information Technology and Systems A Continuing Conversation

Re imagining Diffusion and Adoption of Information Technology and Systems  A Continuing Conversation
Author: Sujeet K. Sharma,Yogesh K. Dwivedi,Bhimaraya Metri,Nripendra P. Rana
Publsiher: Springer Nature
Total Pages: 726
Release: 2020-12-15
ISBN: 3030648494
Category: Computers
Language: EN, FR, DE, ES & NL

Re imagining Diffusion and Adoption of Information Technology and Systems A Continuing Conversation Book Excerpt:

This two-volume set of IFIP AICT 617 and 618 constitutes the refereed proceedings of the IFIP WG 8.6 International Working Conference "Re-imagining Diffusion and Adoption of Information Technology and Systems: A Continuing Conversation" on Transfer and Diffusion of IT, TDIT 2020, held in Tiruchirappalli, India, in December 2020. The 86 revised full papers and 36 short papers presented were carefully reviewed and selected from 224 submissions. The papers focus on the re-imagination of diffusion and adoption of emerging technologies. They are organized in the following parts: Part I: artificial intelligence and autonomous systems; big data and analytics; blockchain; diffusion and adoption technology; emerging technologies in e-Governance; emerging technologies in consumer decision making and choice; fin-tech applications; healthcare information technology; and Internet of Things Part II: information technology and disaster management; adoption of mobile and platform-based applications; smart cities and digital government; social media; and diffusion of information technology and systems

Ordinary Shares Exotic Methods

Ordinary Shares  Exotic Methods
Author: Francis E. H. Tay
Publsiher: World Scientific
Total Pages: 196
Release: 2003
ISBN: 9789812791375
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Ordinary Shares Exotic Methods Book Excerpt:

Exotic methods refer to specific functions within general soft computing methods such as genetic algorithms, neural networks and rough sets theory. They are applied to ordinary shares for a variety of financial purposes, such as portfolio selection and optimization, classification of market states, forecasting of market states and data mining. This is in contrast to the wide spectrum of work done on exotic financial instruments, wherein advanced mathematics is used to construct financial instruments for hedging risks and for investment.In this book, particular aspects of the general method are used to create interesting applications. For instance, genetic niching produces a family of portfolios for the trader to choose from. Support vector machines, a special form of neural networks, forecast the financial markets; such a forecast is on market states, of which there are three OCo uptrending, mean reverting and downtrending. A self-organizing map displays in a vivid manner the states of the market. Rough sets with a new discretization method extract information from stock prices."

Artificial Intelligence for Knowledge Management

Artificial Intelligence for Knowledge Management
Author: Eunika Mercier-Laurent,M. Özgür Kayalica,Mieczyslaw Lech Owoc
Publsiher: Springer Nature
Total Pages: 251
Release: 2021-07-03
ISBN: 3030808475
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence for Knowledge Management Book Excerpt:

This book features a selection of extended papers presented at the 8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, held in Yokohama, Japan, in January 2021, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2020.* The 14 revised and extended papers presented together with an invited talk were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and discuss methodological, technical and organizational aspects of artificial intelligence used for knowledge management. *The workshop was held virtually.