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Format: 1 Online-Ressource (125 Seiten)

ISBN: 9783030763138

Series Statement: Future of Business and Finance Ser

Note: Intro -- Preface -- Acknowledgments -- Contents -- 1: Introduction to Artificial Intelligence and the Nature of a Firm: Implications to Strategy and Strategy Implementation -- 1.1 Introduction -- 1.2 The Pandemic and the Great Acceleration of Technology Utilisation -- 1.3 Artificial Intelligence -- 1.3.1 A Brief Introduction to Machine Learning -- 1.3.2 A Brief Introduction to Natural Language Processing -- 1.3.3 A Brief Introduction to Robotic Process Automation -- 1.4 Themes of the Book -- 1.5 Key Points -- References -- 2: A High-Level Overview of Artificial Intelligence: Historical Overview and Emerging Developments -- 2.1 Introduction -- 2.2 The Early Days of AI -- 2.3 Major Developments in AI -- 2.4 What Is AI? Some Definitions of AI -- 2.5 Weak and Strong AI -- 2.6 Some Developments of the Key AI Technologies Today -- 2.6.1 Natural Language Generation (NLG) -- 2.6.2 Natural Language Understanding (NLU) -- 2.6.3 Speech Recognition (SR) -- 2.6.4 Machine Learning (ML) Platforms -- 2.6.5 Virtual Agents (VA) -- 2.6.6 Expert Systems (ES) -- 2.6.7 Decision Management (DM) -- 2.6.8 Deep Learning (DL) Platforms -- 2.6.9 Robotic Process Automation (RPA) -- 2.6.10 Text Analytics (TA) -- 2.6.11 Natural Language Processing (NLP) -- 2.6.12 Biometrics -- 2.6.13 Cyber Defence (CD) -- 2.6.14 Emotion Recognition (ER) -- 2.6.15 Image Recognition (IR) -- 2.7 Key Points -- References -- 3: A Brief Overview of the Firm's Strategy -- 3.1 Introduction -- 3.2 A Brief History of Strategy Origination -- 3.3 Understanding Strategy: An Overview -- 3.4 Some Definitions of Strategy -- 3.5 Strategy Formulation -- 3.6 Diagnosis -- 3.7 Formulation and Implementation -- 3.8 Key Points -- References -- 4: Strategy Implementation -- 4.1 Introduction -- 4.2 Some Definitions of Strategy Implementation -- 4.3 Strategy Implementation vs Execution , 4.4 An Overview of Activities in Strategy Implementation -- 4.5 Considerations for Successful Strategy Implementation -- 4.6 Pitfalls and Mitigations in Strategy Implementation -- 4.6.1 Pitfalls in Strategy Implementation -- 4.6.2 Mitigations in Strategy Implementation -- 4.7 Key Points -- References -- 5: Machine Learning in Strategy and Implementation -- 5.1 Introduction -- 5.2 Understanding Machine Learning -- 5.3 The Growing Influence of Machine Learning -- 5.4 Forms of Machine Learning -- 5.4.1 A Brief Overview of Supervised Learning -- 5.4.2 A Brief Overview of Unsupervised Learning -- 5.4.3 A Brief Overview of Reinforcement Learning -- 5.5 A Brief Overview of Deep Learning -- 5.6 Machine Learning in Strategy and Strategy Implementation -- 5.6.1 Exploring the Role of ML in a Typical Strategy Diagnosis Process -- 5.6.2 Exploring the Role of ML in a Typical Strategy Formulation Process -- 5.6.3 Exploring the Role of ML in a Typical Strategy Implementation Process -- 5.7 Key Points -- References -- 6: Natural Language Processing in Strategy and Implementation -- 6.1 Introduction -- 6.2 Understanding Natural Language Processing -- 6.3 Applications of the Natural Language Processing -- 6.4 Typical Functions of the NLP -- 6.4.1 Machine Translation -- 6.4.1.1 Approaches to Machine Translation -- Rule-Based Machine Translation -- Statistical Machine Translation -- Neural Machine Translation -- 6.4.1.2 Advantages of Machine Translation -- 6.4.1.3 Disadvantages of Machine Translation -- 6.4.2 Text Summarisation -- 6.4.2.1 Extractive Summarisation -- 6.4.2.2 Abstractive Summarisation -- 6.4.3 Sentiment Analysis -- 6.5 Natural Language Processing in Strategy and Strategy Implementation -- 6.5.1 Exploring the Role of NLP and ML in a Typical Strategy Diagnosis Process -- 6.5.2 Exploring the Role of NLP and ML in a Typical Strategy Formulation Process , 6.5.3 Exploring the Role of NLP and ML in a Typical Strategy Implementation Process -- 6.6 Key Points -- References -- 7: Robotic Process Automation in Strategy and Strategy Implementation -- 7.1 Introduction -- 7.2 The Difference Between Robotics and Robotic Process Automation -- 7.3 Robotic Process Automation -- 7.4 Robotic Process Automations in Strategy and Strategy Implementation -- 7.4.1 Exploring the Role of RPA in a Typical Strategy Implementation Process -- 7.5 Key Points -- References -- 8: Synopsis to Artificial Intelligence and the Nature of a Firm: Implications to Strategy and Strategy Implementation -- 8.1 Introduction -- 8.2 Synopsis of Artificial Intelligence -- 8.3 Synopsis of a Firm's Strategy -- 8.4 Synopsis of Strategy and Strategy Implementation -- 8.5 Synopsis of Machine Learning -- 8.6 Synopsis of Natural Language Processing -- 8.7 Synopsis of Robotic Process Automation -- References -- Index

Additional Edition: Erscheint auch als Druck-Ausgabe Moloi, Tankiso Artificial Intelligence and the Changing Nature of Corporations Cham : Springer International Publishing AG,c2021 ISBN 9783030763121

Language: English

Subjects: Computer Science , Economics

URL: Volltext  (URL des Erstveröffentlichers)

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Format: 1 Online-Ressource (330 Seiten)

ISBN: 9783030598938

Series Statement: Tourism, Hospitality and Event Management Ser

Note: Description based on publisher supplied metadata and other sources , Intro -- Preface -- Contents -- Editors and Contributors -- Introduction -- Literature -- Development of the Macro-environment of the (Luxury) Tourism Market -- 1 Preliminary Remarks -- 2 Political-Legal Environment -- 3 Economic Environment -- 4 Sociocultural Environment -- 5 Technological Environment -- 6 Ecological-Natural Environment -- 7 Conclusion -- Literature -- Analysis of the Luxury Phenomenon -- 1 Definition and Concepts of Luxury -- 2 Understanding of Luxury in the Course of Time -- 3 Economic Relevance of Luxury Markets -- 4 Future Scenarios of the Luxury Phenomenon -- 5 Study Results on the Travel and Booking Behavior of Luxury Travel Customers -- Literature -- Behavioral Explanations of Luxury Consumption -- 1 Luxury in a Changing Sociocultural Environment -- The Concept of Luxury -- Luxury in Times of Shortage -- The Big Feast -- A Question of Taste -- The Birth of Capitalism from the Spirit of Asceticism -- The Birth of Capitalism from the Spirit of Waste -- Demonstrative Consumption in the Bourgeois Age -- Democratization of Luxury -- Interwar Period -- Post-war Period -- Luxury in Times of Abundance -- Concluding Remark -- 2 Behavioral Explanations for Luxury Consumption -- Introduction -- The Essence of Luxury: It Is All About an Extraordinary Experience -- The Drivers of Luxury Consumption -- Motivational Theories: Luxury and Needs -- Self-Concept: Luxury and Identity -- Experiential Consumption: Luxury and Emotions -- Consumer Value: Luxury and Dimensions of Consumer Value -- Discussion and Implications for Luxury Tourism -- 3 The Purchase Decision and Service Consumption Process for Luxury Goods -- The Creation of Desire -- Introduction -- Luxury and the Creation of Desire -- Desire and the Service Consumption Process -- Pre-purchase Stage -- Service Encounter Stage -- Post-encounter Stage , Discussion and Implications for Luxury Tourism -- 4 Luxury Consumption as a Process of Overcoming Fear -- When Overcoming Fear Provokes a False Understanding of Luxury -- Hunger as a Driving Force for Storage -- Renunciation in Response to Fear of Loss -- Fear of Social Isolation -- The Two Primeval Fears: Being Eaten and Not Being Loved -- Overcoming Fear: A Questionable Luxury -- In Humility Lies the Soul of True Luxury -- 5 Luxury Consumption as a Healing Process -- Luxury Is Unavailable! -- ''Dislocations'' as a Starting Point for a March Stop: A New Definition of Luxury -- People Are Looking for the ''Unavailable'' -- Luxury as a Foretaste of Paradise -- Luxury as Support in the Search for Meaning -- Luxury as an Art of Living and Ethical Responsibility -- Literature -- Marketing Management of Luxury Providers -- 1 Marketing Strategies -- The Marketing Strategy as a Derivation of the Corporate Strategy: Global Versus Multinational -- Corporate and Marketing Strategies in the Luxury Sector -- Marketing Strategies in Tourism -- Components of the Marketing Strategy -- Special Features of Luxury Brands and Products -- Consequences for the Strategy of Luxury Brands -- Luxury Brands in Tourism -- 2 Market Segmentation -- Segmentation Approaches as a Result of the Corporate and Marketing Strategy -- Taking in Account the Sociocultural Aspects -- Demographic Segmentation -- Market Segmentation in the Global Luxury Sector -- Luxury Segments in Tourism -- ''Millennials'' in China -- 3 Marketing Tools -- Product and Service Policy -- The Luxury Product in Tourism -- Pricing Policy -- Role of Pricing Policy in the Luxury Sector -- Communication Policy -- Special Features in the Luxury Sector -- Distribution Policy -- Distribution in the Luxury Sector -- Special Features of Luxury Tourism -- 4 Storytelling in a Digital Age , Mastering the Art of ''Tell, Don't Sell'' -- Language Is Everything -- Entertain and Inform -- Social Media: It Is All About the Storytelling -- Who Is Your Target Audience? -- Become an Influencer in Your Own Right -- Positioning Your Brand Through Your Personality -- Using Sustainability to Boost Your Sex Appeal -- Do Good and Drive Direct Bookings -- 5 Corporate Management in the Luxury Tourism Segment: Example of Top-End Hotels -- The Answer Is Yes. What Is the Question? -- Basic Attitude and Differentiation -- Leadership -- To Like Human Beings -- It Is the Right Person That Makes the Difference -- Praise and Reprimand -- Being a Role Model -- Open-Mindedness -- One Can Expect Royal Behavior from the King -- 6 The Pioneering Force of Luxury Travel -- Adapting a New Concept of Consumption at the Pursuit of Happiness -- Literature -- Luxury and the Tourism Offer -- 1 Current Differentiation Criteria in the Luxury Hotel Industry -- The World Was Shaken ... -- September 11, 2001: Existential Fear Reawakened -- Financial Crisis: Loss of Confidence in Brands -- The Pioneers -- The New Understanding of Luxury -- Distinctive Features: High-End Versus Top-End Hotel Business -- Travel Motive: Accelerate Versus Decelerate -- Lifestyle: Stiff Versus Légère -- Understanding, Not Copying -- Summary -- 2 Interview: Aviation-Beyond First Class -- The Example of Lufthansa Private Jet -- Question 1: How Is the Aviation Market Segmented? Where Does Middle-Class End, Where Does Premium Begin and Where Does Luxury ... -- Question 2: How Do You Define Luxury in the Aviation Segment? -- Question 3: Which Providers with Which Offers Can Be Found in the Luxury Aviation Segment? -- Question 4: What Does the Lufthansa Private Jet Business Model Look Like? -- Question 5: What Are the Main Competitors? , Question 6: What Is the Customer Structure of Lufthansa Private Jet and Its Competitors (Including Regional Distribution, Busi... -- Question 7: What Demands Do Customers Have for the Product? -- Question 8: How Will Demand Develop in the Coming Years? -- Question 9: How Are Customer Expectations Likely to Change Over the Next Few Years? -- Question 10: How Do First-Class Offers of Renowned Airlines Differ from Private Jet Offers? -- Question 11: What Are the Cost Differences Between First Class and Private Jet Products? -- Question 12: How Do You See the Future Development of the General Economic and Social Conditions for the Luxury Aviation Segme... -- 3 Cruises: Beyond Upper Premium -- A Crystal Chandelier Does Not Equal Luxury -- Cruises: When Does a Ship Belong to the Luxury Class? -- Ship Design -- Passenger Capacity -- Cabins -- Lifestyle -- Family Friendliness -- Service -- Gastronomy -- Sports and Wellness -- Entertainment -- Routing -- Dress Code -- Ancillary Costs -- Special Features -- Examples of Shipping Companies in the Luxury Category -- The Niche: Upper Premium -- Ship-in-Ship Concepts -- Boom Segment Expeditions -- Bottom Line -- 4 Road Traffic: The Limousine Service for the Twenty-First Century -- Travelers Prefer Chauffeurs for Longer Distances -- The Requirements -- The Service Mentality -- More than Just Standard -- In the Engine Room -- The Overdue Modernization -- The Next 50 Years -- 5 Rail Transport: Luxury Passenger Trains -- Luxury in the Context of Luxury Train Travel -- Tourism Classification of Luxury Trains and Characteristics -- The World of Luxury Trains: Product Overview -- Rovos Rail -- Seven Stars -- Satisfaction of Needs and Motives by Luxury Trains -- Rail Tourism and the Effects of Luxury Trains -- 6 Tour Operators and Intermediaries -- Of Happy Rats, Priceless Happiness, and the Power of Knowledge , When Luxury Becomes Boring and Self-Evident -- Time Has Become the True Luxury. Luxury Is Quality Time -- Understanding Luxury Correctly: Rethinking Tourism -- Two New Developments Present Travel Agents with New Challenges -- Expert Knowledge Alone Is No Longer Enough for Travel Agents -- Creative, ''Priceless'' Moments for Luxury Customers -- Knowledge Through Trust: Communication on Innovation Course -- Literature -- Luxury Relevance of Selected Megatrends in Tourism -- 1 Sustainability and Luxury -- Luxury Tourism and the Environment -- Luxury in Tourism -- Sustainable Luxury Tourism? -- 2 Digitalization and Luxury -- Luxury or Curse? -- Digital Infrastructure Becomes a Matter of Course -- Artificial Intelligence Destroys Jobs and Social Interaction -- True Luxury Is Immaterial -- Wanted: The True Values -- Data Security and Paparazzi-Free Zones Are Essential -- Summary -- 3 Demographic Change and Luxury -- Age Is En Vogue -- Demographic Change -- The Two Basic Target Group Perspectives and the Five Consumption Generations -- Luxury Understanding of Today's Consumer Generations and Luxury Travel Experience -- 4 Health and Luxury -- Life Invites You -- Luxury Has many Faces -- Health as a Value and Luxury Good -- Offers for Health Versus Offers Against Illness -- The Dream of Eternal Youth and Immortality -- Paradigms Are Changing -- Blue Zones and the Teachings of 100-Year-Olds -- Deceleration: Mindfulness -- Complex Knowledge Experienced Simply -- Simplicity also Becomes a Luxury Good -- Luxury as a Benefit for Health -- Luxury Is a Magical Moment -- Health and Well-Being Are Becoming a New Luxury Trend -- Experience Health: Experience Healing -- Literature -- Analysis, Design, and Future Perspectives of Luxury Features -- 1 ''Me to Me'' Perspective -- Individualization -- Self-Determination -- Transcendence and Self-Development , Peace and Inner Reflection

Additional Edition: Erscheint auch als Druck-Ausgabe Conrady, Roland Luxury Tourism Cham : Springer International Publishing AG,c2020 ISBN 9783030598921

Language: English

Subjects: Economics

Keywords: Aufsatzsammlung

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (267 Seiten)

ISBN: 9789811542916

Series Statement: Disaster Research and Management Series on the Global South Ser

Note: Description based on publisher supplied metadata and other sources , Intro -- Acknowledgements -- Contents -- About the Series Editor -- Notes on Editors -- List of Figures -- List of Tables -- Chapter 1: Introduction: Enhancing Capacity to Manage Disasters -- Introduction -- A Social Scientist's Understanding of AI and BD -- How Would Governance Benefit from AI and Big Data? -- Sophistication in Decision Making Tools -- Diagnostic Capability -- Climate Change Related Early Warning Mechanism Systems -- Indispensability of 'Big Data' for Public Institutions -- Drivers for AI and BD Based Decision Making -- Conclusion -- References -- Part I: New Technologies in Disaster Management -- Chapter 2: Artificial Intelligence and Early Warning Systems -- Introduction -- Disaster Management -- Organization of the Paper -- Early Warning Systems -- Artificial Intelligence -- Machine Learning -- AI and EWS -- Conclusion -- References -- Chapter 3: Artificial Intelligence in Disaster Management: Rescue Robotics, Aerial Mapping and Information Sourcing -- Introduction to AI in Disaster Management -- Land and Water Robots -- Aerial Surveillance and Aid Delivery Robots -- AI as a Software Service During a Disaster -- Adoption of AI in Disaster Management -- Conclusion -- References -- Chapter 4: Optimal Visual Cues for Smartphone Earthquake Alert Systems: Preliminary Data from Lab and Field Experiments -- Experiment 1. Optimal Stimuli for Capturing Peripheral Attention -- Methods -- Discussion Experiment 1 -- Experiment 2. Optimal Stimuli, Personalization and Practice in a Real-Life Field Experiment -- Methods -- Task and Procedure -- Results -- Results -- User Experience Ratings -- In Case of a Real Earthquake, How Likely Would You Be to Trust This App? -- In Case of a Real Earthquake, How Safe Would You Feel with This App? -- To What Degree Did I Feel Safe During Walking During the Alert? -- Overall Mood During the Experiment , Discussion Experiment 2 -- General Discussion -- References -- Chapter 5: Using Artificial Intelligence and Social Media for Disaster Response and Management: An Overview -- Introduction -- Research -- Situational Awareness -- Actionable Insights -- Datasets -- Systems -- Discussion and Conclusion -- References -- Chapter 6: 'Internet of Things' Applications in Disaster Management -- What Is AI and IoT and Why Do They Matter to the Government? -- What Are the Opportunities with IoT for Public Service? -- Why Are Government Agencies Not Able to Leverage IoT? -- What Should Governments Do? -- Risks Related to IoT Expansion -- Summary -- Chapter 7: Samvad: Reaching Out Through Radio and Wireless Network -- Situation in District in Previous Floods -- Response of the District Administration -- Implementation of the Seven-Point Disaster Risk Management Programme -- Impact of Radio Initiatives -- Preparedness Education: Use of Cinema Halls -- Future Plan -- The Final Word -- Chapter 8: Usages of AI Technologies in Nepal's Disaster Management -- Introduction -- Related Issues -- Artificial Intelligence and Disaster Management: Nepal Scenario -- Machine Learning Terminologies -- A Case Study of Flood Damage Prediction -- Koshi River in Nepal -- Data Collection -- Data Visualization -- Flood Map Generation -- Water Level Prediction for Flash Flood -- Rapid Earthquake Assessment from Satellite Imagery -- Unmanned Aerial Vehicle (UAV) Based Emergency Management -- Recommendations from This Study -- Conclusion -- References -- Part II: Government, Governance and Law -- Chapter 9: Enhancing Accountability and Triadic Collaboration in Disaster Governance of Sri Lanka -- The Background -- The Role of Artificial Intelligence in Disaster Risk Reduction and Management -- The Legislative Framework on Disaster Risk Reduction and Management in Sri Lanka , The Role of the Government of Sri Lanka in Disaster Situations -- The Human Right to Be Protected and Relieved from the Disasters -- Sustainable Development and Prevention of Disasters -- Precautionary Principle in Averting Disasters in Advance -- Conclusion -- References -- Chapter 10: Artificial Intelligence and the Legal Response Paradigms in Disaster Management -- Introduction: Disaster Management Challenges and Scope of Employing Artificial Intelligence -- Ethical and Legal Concerns in the Application of Artificial Intelligence -- Regulating Artificial Intelligence -- AI Liability Frameworks -- International Legal Framework on Disaster Management: Environmental and Application of AI -- Conclusion -- References -- Chapter 11: Artificial Intelligence and Disaster Management in Sri Lanka: Problems and Prospects -- Background of the Study and Problem Identification -- Literature Review -- Artificial Intelligence in Disaster Management -- Application of AI in Disaster Management -- Flood Prediction Model in Malaysia -- Machine Learning in the USA to Be Prevented from Earthquakes -- Flood Alert System in India -- High-Performance Computing in Japan to Be Prevented from Earthquakes -- Deep Machine Learning (ML) Algorithm in India as to Filter out Fake News -- Satellite Technology in Disaster Management in Malaysia, Ethiopia and Kenya -- Application of AI in Disaster Risk Management in Sri Lanka: Examples -- Opportunities of Adopting AI for Disaster Management in Sri Lanka -- Problems of Adopting AI for DM in Sri Lanka -- Lack of Knowledge and IT Infrastructure -- AI as Multifaceted Intelligence -- Manageability -- Languages Usage -- Controlling -- Conclusion -- References -- Chapter 12: Applications of Artificial Intelligence in Reconstruction Governance Lessons from Nepal Earthquakes -- Background , Artificial Intelligence and Reconstruction Governance in Nepal -- Research Methodology -- Reconstruction Governance in Nepal -- Response and Relief -- Reconstruction and Rehabilitation Achievements -- Factors Affecting Reconstruction Governance in Nepal -- Conclusions -- References -- Chapter 13: ICT Infrastructure of Disaster Management in India -- Introduction -- Advancements of ICT Applications in Disaster Management -- Can India Manage Disasters without ICT? -- A Spread of ICT Infrastructure in India -- Challenges -- Conclusion -- References -- Part III: Building Community Resilience Through AI -- Chapter 14: Can Community Plans Really Talk? Integrating and Strengthening Communications Through Artificial Intelligence -- Introduction -- Problem Statement -- What Is Hazard Mitigation or Why the Need for it? -- Plan Review and Integration -- Integrating Hazard Mitigation Principles into Other Local Planning Mechanisms (Integrate Through Plans) -- Challenges in Performing Manual Plan Review and Integration -- AI for Plan Integration -- Phase I: Build the Brain (BEB) -- Prepare Ontology, Define Terms, and Develop a Knowledge Base -- Phase II: Process the Plans (PEP) -- Natural Language Processing (NLP) -- Document Tagging Using Ontology -- Recommendation Engine -- Conclusion -- References -- Chapter 15: The Challenge of Resilience in an Age of Artificial Intelligence -- The Coming Age of Artificial Intelligence -- Disaster Preparedness and Resilience -- Prama: The Path of Resilience -- Loss of 'PRAMA' in Society -- Restoring PRAMA -- Survival (Asti): The First Step Toward Resilience -- Allround Development (Bhati) -- Role of Intuitional Practices and the Goal of Anandam -- Conclusion: A Call for Moral Advancement -- References -- Chapter 16: AI in an Urban Village in Delhi -- Introduction -- Vulnerability of Urban Villages: Case Study of Munirka , Vulnerability Mapping through Aerospace Imaging -- Crowd-Sourcing Data from Communities: A Participatory Approach -- Generating Classification Maps: Deep Learning Approach Using Support Vector Machines (SVM) and Feature Extraction -- Limitations in the Use of AI -- Conclusion -- References -- Part IV: Extraneous Influences and Ethics in AI Applications -- Chapter 17: Prevent AI from Influences: A Challenge for Lazy, Profligate Governments -- Disaster Governance: Managing Mechanized Humans or Humanized Robots? -- What Is Likely to Go Wrong? -- Nature of New Regulations Needed -- Conclusion -- References -- Chapter 18: The Final Alert on Ethics in AI Based Technology -- Summing Up Ethical Questions Around AI -- An Example from the Chapters -- Information Is Power! -- Unequal Access to Resources -- Inequality Between Countries -- The Benefits/Dangers of Cell Phone Data -- Consequences and Motivation -- Guideposts as We Move Ahead -- Conclusion -- Reference

Additional Edition: Erscheint auch als Druck-Ausgabe Kumar, T. V. Vijay AI and Robotics in Disaster Studies Singapore : Springer Singapore Pte. Limited,c2020 ISBN 9789811542909

Language: English

Subjects: Computer Science , Economics , General works

Keywords: Aufsatzsammlung

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XIII, 128 S.)

ISBN: 3540108580 , 0387108580

Series Statement: Lecture notes in computer science 119

Language: English

Subjects: Computer Science , Comparative Studies. Non-European Languages/Literatures

Keywords: Anapher ; Computerlinguistik ; Mensch-Maschine-Kommunikation ; Natürliche Sprache ; Hochschulschrift

DOI: 10.1007/3-540-10858-0

URL: Volltext

URL: Volltext  (lizenzpflichtig)

URL: Volltext  (lizenzpflichtig)

URL: Volltext  (lizenzpflichtig)

URL: lizenzpflichtig

URL: Inhaltsverzeichnis

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Format: 1 Online-Ressource (511 Seiten)

ISBN: 9783030363758

Note: Description based on publisher supplied metadata and other sources , Intro -- Preface -- Motivation -- Purpose of the Book -- Who Is This Book for? -- How This Book Is Structured -- What This Book Is NOT About -- Features of the Book -- Acknowledgments -- Contents -- Part I: From Business Problems to Data Science -- Chapter 1: Data Science Based on Artificial Intelligence -- 1.1 Big Data, Big Mess, Big Opportunity -- 1.1.1 From Hype to Competitive Advantage -- 1.1.2 Key Buzzwords Explained -- 1.1.3 Why Now? -- 1.2 What Is AI-Based Data Science? -- 1.2.1 Definition of AI-Based Data Science -- 1.2.2 Features of AI-Based Data Science -- 1.3 Competitive Advantages of AI-Based Data Science -- 1.3.1 Creating ''Objective Intelligence'' -- 1.3.2 Dealing with Uncertainty -- 1.3.3 Dealing with Complexity -- 1.3.4 Generating Novelty -- 1.3.5 Low-Cost Modeling and Optimization -- 1.4 Key Challenges in Applying AI-Based Data Science -- 1.4.1 Technical Issues in Applying AI-Based Data Science -- 1.4.2 Nontechnical Issues in Applying AI-Based Data Science -- 1.5 Common Mistakes -- 1.5.1 Believing the Hype -- 1.5.2 Neglecting to Estimate the Demand for AI-Based Data Science -- 1.5.3 Mass-Scale Introduction of AI-Based Data Science in a Business without Required Skillset Availability -- 1.5.4 Introducing Data Science Bureaucracy -- 1.6 Suggested Reading -- 1.7 Questions -- Chapter 2: Business Problems Dependent on Data -- 2.1 The Leading Role of Business Problems -- 2.1.1 ''Data Is the New Oil'' Hype -- 2.1.2 Problems-First Approach -- 2.2 Typical Business Problems Related to AI-Based Data Science -- 2.2.1 Typical Problems in Manufacturing -- 2.2.2 Typical Problems in Business -- 2.3 How to Find Data-Driven Business Problems -- 2.3.1 Understand Business Needs -- 2.3.2 Match Business Needs with Known Artificial Intelligence-Based Use Cases -- 2.4 The Slippery Terrain of Problem Definition -- 2.4.1 Structure of Problem Definition , 2.4.2 Example of Problem Definition -- 2.5 Value Creation Hypothesis -- 2.5.1 Sources of Value Creation -- 2.5.2 Metrics for Value Creation -- 2.6 Common Mistakes -- 2.6.1 Jumping to Solutions without Defining Business Problems -- 2.6.2 Neglecting the Importance of a Detailed Realistic Problem Definition -- 2.6.3 Ignoring Definition of Value Creation Metrics for the Problem -- 2.6.4 Believing in a Data First, Problems Second Approach -- 2.7 Suggested Reading -- 2.8 Questions -- Chapter 3: Artificial Intelligence-Based Data Science Solutions -- 3.1 Typical Solutions Related to Data Science -- 3.1.1 Prediction -- 3.1.2 Forecasting -- 3.1.3 Classification -- 3.1.4 Clustering -- 3.1.5 Optimization -- 3.1.6 Association -- 3.2 Advanced AI Solutions Related to Data Science -- 3.2.1 Natural Language Processing -- 3.2.2 Video/Image Processing -- 3.2.3 Sentiment Analysis -- 3.2.4 Artificial General Intelligence -- 3.3 Key AI Methods in a Nutshell -- 3.3.1 Neural Networks in a Nutshell -- 3.3.2 Deep Learning Networks in a Nutshell -- 3.3.3 Support Vector Machines in a Nutshell -- 3.3.4 Decision Trees in a Nutshell -- 3.3.5 Evolutionary Computation in a utshell -- 3.3.6 Swarm Intelligence in a Nutshell -- 3.3.7 Intelligent Agents in a Nutshell -- 3.4 Common Mistakes -- 3.4.1 Obsession with One Method -- 3.4.2 Focusing on Fashionable Methods -- 3.4.3 Lack of Knowledge about Broad Options for AI-Based Approaches -- 3.4.4 Lack of Knowledge about Cost of Implementation of Methods -- 3.5 Suggested Reading -- 3.6 Questions -- Chapter 4: Integrate and Conquer -- 4.1 The Integrate and Conquer Strategy in Applied Data Science -- 4.1.1 The Nasty Reality of Real-World Applications -- 4.1.2 Why Integration of Methods Is Critical for Real-World Applications -- 4.2 Integration Opportunities -- 4.2.1 Integration Between AI-Based Methods , 4.2.2 Integration with First-Principles Models -- 4.2.3 Integration with Statistical Models -- 4.2.4 Integration by Ensembles of Models -- 4.3 How to Select the Best Solutions for the Business Problem -- 4.3.1 Capabilities of Methods -- 4.3.2 Applicability of Methods -- 4.3.3 One Method Is Not Enough -- 4.4 Common Mistakes -- 4.4.1 Ignoring Integration of Methods -- 4.4.2 Lack of Knowledge of Strengths and Weaknesses of Methods -- 4.4.3 Lack of Knowledge about Selecting the Most Appropriate Methods for the Business Problem -- 4.5 Suggested Reading -- 4.6 Questions -- Chapter 5: The Lost-in-Translation Trap -- 5.1 Translation from Business Problems to Data Science Solutions -- 5.1.1 Select Best Experts in Problem Domain -- 5.1.2 Generic Problem Questionnaire Template -- 5.1.3 Problem Description by Domain Experts -- 5.1.4 Problem Understanding by Data Scientists -- 5.1.5 Create a Problem-Related Glossary -- 5.2 Translation from Data Science Solutions to Business Problems -- 5.2.1 Explain Data Science Work Process -- 5.2.2 Communicate Potential Data Science Solutions -- 5.2.3 Demonstrate Similar Data Science Use Cases -- 5.2.4 Explain Key Principles Related to Potential Data Science Solutions -- 5.2.5 Create a Solution-Related Glossary -- 5.3 Typical Lost-in-Translation Cases -- 5.3.1 Inexperienced Data Scientists -- 5.3.2 Resistance from Experts -- 5.3.3 Improper Problem Definition -- 5.3.4 Management Intervention -- 5.4 How to Avoid the-Lost-in-Translation Trap -- 5.4.1 Translators -- 5.4.2 Examples of Translators for AI-Methods -- 5.5 Common Mistakes -- 5.5.1 Ignoring the Dialog Between Domain Experts and Data Scientists -- 5.5.2 Ignoring the People Factor -- 5.5.3 Ignoring Team Building -- 5.6 Suggested Reading -- 5.7 Questions -- Part II: The AI-Based Data Science Toolbox -- Chapter 6: The AI-Based Data Science Workflow -- 6.1 Overview of Workflow , 6.1.1 Why we Need an Effective AI-Based Data Science Workflow -- 6.1.2 Why Is the Classical Scientific Process Not Enough? -- 6.1.3 Comparison with CRISP-DM -- 6.1.4 AI-Based Data Science Workflow Sequence -- 6.2 Key Steps of AI-Based Data Science Workflow -- 6.2.1 Problem Definition -- 6.2.2 Project Organization -- 6.2.3 Problem Knowledge Acquisition -- 6.2.4 Data Preparation -- 6.2.5 Data Analysis -- 6.2.6 Model Development -- 6.2.7 Model Deployment -- 6.2.8 Model Maintenance -- 6.2.9 Automation of AI-Based Data Science Workflow -- 6.3 Project Organization -- 6.3.1 Organizing Project Teams -- 6.3.2 Resources Allocation -- 6.3.3 Project Scheduling -- 6.3.4 Project Funding -- 6.4 Common Mistakes -- 6.4.1 Ignoring a Detailed Workflow -- 6.4.2 Ignoring some Steps in the Workflow -- 6.4.3 Insufficient Efforts on Cost Estimates -- 6.4.4 Not Documenting the Deliverables -- 6.5 Suggested Reading -- 6.6 Questions -- Chapter 7: Problem Knowledge Acquisition -- 7.1 Importance of Problem Knowledge -- 7.1.1 Problem Knowledge in Problem Definition -- 7.1.2 Problem Knowledge in Data Preparation -- 7.1.3 Problem Knowledge in Data Analysis -- 7.1.4 Problem Knowledge in Model Development -- 7.1.5 Problem Knowledge in Model Deployment -- 7.2 Sources of Problem Knowledge -- 7.2.1 Subject Matter Experts -- 7.2.2 Problem-Related Documents -- 7.2.3 Publicly Available References -- 7.3 Problem Knowledge Acquisition Methods -- 7.3.1 Mind Mapping -- 7.3.2 Brainstorming Sessions -- 7.3.3 External Knowledge Acquisition -- 7.3.4 Knowledge Acquisition Skills -- 7.4 Problem Knowledge Integration -- 7.4.1 Define Recommended Assumptions -- 7.4.2 Define Normal/Abnormal Operating Conditions -- 7.4.3 Suggest Selection of Initial Variables -- 7.4.4 Define Qualitative Performance Metric -- 7.5 Definition of a Problem Solution Strategy -- 7.5.1 Define Solution Hypotheses , 7.5.2 Define a List of Potential Solutions -- 7.5.3 Define Issues and Limitations of Suggested Solutions -- 7.5.4 Define Needed Infrastructure -- 7.6 Common Mistakes -- 7.6.1 Focusing on Data and Ignoring Problem Knowledge -- 7.6.2 SMEs Are Not Involved -- 7.6.3 Not Validating SMEs Knowledge -- 7.6.4 Reinventing the Wheel -- 7.7 Suggested Reading -- 7.8 Questions -- Chapter 8: Data Preparation -- 8.1 Data Collection -- 8.1.1 Data Sources -- 8.2 Visual Data Exploration -- 8.2.1 Strange Data Patterns -- 8.2.2 Data Distributions -- 8.2.3 Univariate Plots -- 8.2.4 Bivariate Plots -- 8.2.5 Multivariate Plots -- 8.3 Data Preprocessing -- 8.3.1 Handling Missing Data -- 8.3.2 Handling Outliers -- 8.3.3 Data Transformation -- 8.3.4 Data Balance -- 8.3.5 Data Quality Assessment -- 8.4 Common Mistakes -- 8.4.1 GIGO 2.0 -- 8.4.2 Problem Solving with Insufficient Data -- 8.4.3 Problem Solving with Low-Quality Data -- 8.4.4 Low-Quality Data Preparation -- 8.5 Suggested Reading -- 8.6 Questions -- Chapter 9: Data Analysis -- 9.1 Translation of Data into Insight -- 9.1.1 Problem Knowledge Gain from Data Analysis -- 9.1.2 Insight from Multivariate View -- 9.1.3 Insight from Understanding Key Drivers -- 9.1.4 Insight from Discovered Features and Patterns -- 9.1.5 Insight from Data Analysis as the Final Problem Solution -- 9.1.6 Insight for Final Data Preparation for Modeling -- 9.2 Multivariate Data Analysis -- 9.2.1 Principal Component Analysis -- 9.2.2 Multivariate Patterns -- 9.3 Variable Selection -- 9.3.1 Variable Reduction -- 9.3.2 Handling Multicollinearity -- 9.3.3 Linear Variable Selection -- 9.3.4 Nonlinear Variable Selection -- 9.4 Feature Extraction -- 9.4.1 Feature Engineering -- 9.4.2 Automatically Generated Features -- 9.5 Data Visualization -- 9.5.1 Parallel Coordinates Plot -- 9.5.2 Chord Diagram -- 9.5.3 Contour Plot , 9.6 Data-Analysis-Driven Storytelling

Additional Edition: Erscheint auch als Druck-Ausgabe Kordon, Arthur K. Applying Data Science Cham : Springer International Publishing AG,c2020 ISBN 9783030363741

Language: English

Subjects: Computer Science

Keywords: Künstliche Intelligenz ; Big Data

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: Online-Ressource (144Seiten) , ill , 12°

Edition: Online-Ausg Farmington Hills, Mich Cengage Gale 2009 Eighteenth Century Collections Online Electronic reproduction; Available via the World Wide Web

Note: Colophon: "Printed by Barker & Son, Russell-str. Covent-garden , English Short Title Catalog, T227157 , Reproduction of original from British Library

Language: English

URL: Volltext

URL: Volltext  (Full text online)

UID:

Format: XIII, 128 S.

ISBN: 3540108580 , 0387108580

Series Statement: Lecture notes in computer science 119

Language: English

Subjects: Computer Science , Comparative Studies. Non-European Languages/Literatures

Keywords: Anapher ; Computerlinguistik ; Mensch-Maschine-Kommunikation ; Natürliche Sprache ; Hochschulschrift

URL: Cover

URL: Inhaltsverzeichnis

UID:

Format: 176 S.

ISBN: 9067650390

Language: English

Subjects: Comparative Studies. Non-European Languages/Literatures

Keywords: Semantik ; Computerlinguistik ; Niederländisch ; Automatische Sprachanalyse

UID:

Format: XII, 344 S.

ISBN: 0195075242

Content: This study examines the textbook myths that have clouded our understanding of how or and other "logical" vocabulary comes to have something approaching its logical meaning in natural languages. Jennings finds that much of our understanding of the relationship between logic and natural language has been based upon mistaken assumptions about the character of or and other "logical" vocabulary of natural language, and ultimately upon mistaken beliefs about the nature of human thought and language. Jennings's approach considers the various historical conceptions of disjunction from its place in the logic of the Stoics to the present day.

Language: English

Subjects: Comparative Studies. Non-European Languages/Literatures , Philosophy , English Studies

Keywords: Disjunktion

URL: http://www.loc.gov/catdir/enhancements/fy0602/93011592-d.html

UID:

Format: IX, 309 S. , graph. Darst.

Edition: 1. publ.

ISBN: 0521441161 , 0521446635

Content: "Many students have trouble the first time they take a mathematics course in which proofs play a significant role. This book will prepare students for such courses by teaching them techniques for writing and reading proofs. No background beyond high school mathematics is assumed. The book begins with logic and set theory, to familiarize students with the language of mathematics and how it is interpreted. This understanding of the language of mathematics serves as the basis for a detailed discussion of the most important techniques used in proofs, when and how to use them, and how they are combined to produce complex proofs. Material on the natural numbers, relations, functions, and infinite sets provides practice in writing and reading proofs, as well as supplying background that will be valuable in most theoretical mathematics courses."--BOOK JACKET.

Language: English

Subjects: Mathematics

Keywords: Beweistheorie ; Mathematik ; Beweis ; Mengenlehre ; Mathematische Logik ; Einführung ; Einführung

URL: Verlagsangaben

URL: Inhaltstext