Kooperativer Bibliotheksverbund

UID:

Format: 1 Online-Ressource (XIII, 223 Seiten) , 36 Illustrationen

ISBN: 9789811048883

Series Statement: Flexible Systems Management

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-10-4887-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-10-4889-0

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-135-258-4

Language: English

Subjects: Economics

Keywords: Operations Management ; Ressourcenmanagement ; Strategisches Management ; Flexibilität ; Aufsatzsammlung ; Konferenzschrift

DOI: 10.1007/978-981-10-4888-3

URL: Volltext  (URL des Erstveröffentlichers)

Author information: Sushil 1956-

UID:

Format: XVI, 565 p. 270 illus., 207 illus. in color. , online resource.

Edition: 1st ed. 2023.

ISBN: 9789819916207

Series Statement: Algorithms for Intelligent Systems,

Content: This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications (MIDAS 2022), held on October 28 and 29, 2022, at the University of Versailles-Paris-Saclay, France. The book covers applications in various fields like data science, machine intelligence, image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber-physical system, and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in the machine intelligence discipline, and engineering graduates.

Note: Blockchain-supported Sustainable Supply Chain in Industry 4.0 -- COVID 19 Cases In India: A Study on the effect of Weather Factors and Building the Forecast Model -- A Review On Scheduling in Cloud Fog Computing Environments -- Simplifying Handwritten Medical Prescription: OCR Approach.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789819916191

Additional Edition: Printed edition: ISBN 9789819916214

Additional Edition: Printed edition: ISBN 9789819916221

Language: English

DOI: 10.1007/978-981-99-1620-7

URL: https://doi.org/10.1007/978-981-99-1620-7

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XV, 813 p. 448 illus., 268 illus. in color. , online resource.

Edition: 1st ed. 2021.

ISBN: 9789813340879

Series Statement: Algorithms for Intelligent Systems,

Content: This book is a compilation of peer-reviewed papers presented at the International Conference on Machine Intelligence and Data Science Applications, organized by the School of Computer Science, University of Petroleum & Energy Studies, Dehradun, on September 4 and 5, 2020. The book starts by addressing the algorithmic aspect of machine intelligence which includes the framework and optimization of various states of algorithms. Variety of papers related to wide applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, and speech and gesture analysis have been included with upfront details. The book concludes with interdisciplinary applications like legal, health care, smart society, cyber physical system and smart agriculture. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

Note: Probabilistic Machine Learning Using Social Network Analysis -- Prioritization of Disaster Recovery Aspects Implementing DEMATEL Technique -- A Study on ML Based Predictive Modelling for Pick Profiling at Distribution Centers -- Analysis of Computational Intelligence Techniques in Smart Cities -- Proposed end to end automated e-voting through blockchain technology to increase voter's turnout -- Future of Data Generated by Interactive Media.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789813340862

Additional Edition: Printed edition: ISBN 9789813340886

Additional Edition: Printed edition: ISBN 9789813340893

Language: English

DOI: 10.1007/978-981-33-4087-9

URL: https://doi.org/10.1007/978-981-33-4087-9

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: XVII, 922 p. 477 illus., 376 illus. in color. , online resource.

Edition: 1st ed. 2022.

ISBN: 9789811923470

Series Statement: Lecture Notes on Data Engineering and Communications Technologies, 132

Content: This book is a compilation of peer reviewed papers presented at International Conference on Machine Intelligence and Data Science Applications (MIDAS 2021), held in Comilla University, Cumilla, Bangladesh during 26 - 27 December 2021. The book covers applications in various fields like image processing, natural language processing, computer vision, sentiment analysis, speech and gesture analysis, etc. It also includes interdisciplinary applications like legal, healthcare, smart society, cyber physical system and smart agriculture, etc. The book is a good reference for computer science engineers, lecturers/researchers in machine intelligence discipline and engineering graduates.

In: Springer Nature eBook

Additional Edition: Printed edition: ISBN 9789811923463

Additional Edition: Printed edition: ISBN 9789811923487

Language: English

DOI: 10.1007/978-981-19-2347-0

URL: https://doi.org/10.1007/978-981-19-2347-0

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (xi, 187 Seiten)

ISBN: 9783030316723

Series Statement: Studies in Big Data 66

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-31671-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-31673-0

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-31674-7

Language: English

Subjects: Computer Science , Economics

Keywords: Big Data ; Gesundheitswesen ; Künstliche Intelligenz

DOI: 10.1007/978-3-030-31672-3

URL: Volltext  (URL des Erstveröffentlichers)

Author information: Abraham, Ajith 1968-

Author information: Zomaya, Albert Y. 1964-

UID:

Format: 1 Online-Ressource (XII, 246 p. 83 illus., 63 illus. in color)

Edition: 1st ed. 2023

ISBN: 9789811957239

Series Statement: Advanced Technologies and Societal Change

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1957-22-2

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1957-24-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-981-1957-25-3

Language: English

DOI: 10.1007/978-981-19-5723-9

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (XV, 559 p. 233 illus., 153 illus. in color)

Edition: 1st ed. 2021

ISBN: 9783030736033

Series Statement: Advances in Intelligent Systems and Computing 1372

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-73602-6

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-73604-0

Language: English

DOI: 10.1007/978-3-030-73603-3

URL: Volltext  (URL des Erstveröffentlichers)

UID:

Format: 1 Online-Ressource (236 Seiten)

ISBN: 9783030827632

Series Statement: EAI/Springer Innovations in Communication and Computing Ser

Note: Description based on publisher supplied metadata and other sources , Intro -- Foreword -- Preface -- Acknowledgments -- Contents -- About the Editors -- 1 Analytics Techniques: Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics -- 1.1 Introduction -- 1.2 Analytics -- 1.2.1 Role of Analytics in Business -- 1.2.2 Types of Analytics -- 1.3 Descriptive Analytics -- 1.3.1 Functions of Descriptive Analytics -- 1.3.2 Advantages of Descriptive Analytics -- 1.3.3 Descriptive Analytics and Its Uses -- 1.3.4 Need for Other Analytics -- 1.4 Predictive Analytics -- 1.4.1 Steps in Predictive Analytics -- 1.4.2 Predictive Analytics and Its Uses -- 1.4.3 Predictive Analytics Examples -- 1.5 Prescriptive Analytics -- 1.5.1 Advantages of Prescriptive Analytics -- 1.5.2 Prescriptive Analytics and Its Uses -- 1.5.3 Prescriptive Analytics Examples -- 1.6 Conclusion -- 1.7 Future Directions -- References -- 2 A Complete Overview of Analytics Techniques: Descriptive, Predictive, and Prescriptive -- 2.1 Introduction -- 2.2 Descriptive Analytics -- 2.2.1 The Ratio Analysis: An Elaborate Example of Descriptive Analytics in Business -- 2.2.2 The Gist of Descriptive Analytics -- 2.3 Predictive Analytics -- 2.4 Statistics -- 2.4.1 How Does It Work? -- 2.4.1.1 Classification Models -- 2.4.1.2 Regression Models -- 2.4.2 Predictive Analytics Process -- 2.4.3 Predictive Analytics Tools -- 2.4.4 Uses of Predictive Analytics in Different Industries -- 2.4.5 Why Now? -- 2.5 Prescriptive Analytics -- 2.5.1 Introduction -- 2.5.2 Background of Prescriptive Analytics -- 2.5.3 Methods for Prescriptive Analytics -- 2.5.3.1 Probabilistic Models -- 2.5.3.2 Machine Learning -- 2.5.3.3 Statistical Analysis -- 2.5.3.4 Mathematical Programming -- 2.5.3.5 Evolutionary Computation -- 2.5.3.6 Simulation -- 2.5.3.7 Logic-Based Models -- 2.6 Conclusion -- 2.7 Conclusion -- References , 3 Artificial Intelligence and Analytics for Better Decision-Making and Strategy Management -- 3.1 Introduction -- 3.2 India and AI -- 3.3 Potential of AI -- 3.3.1 Healthcare -- 3.3.2 Agriculture -- 3.3.3 Education -- 3.3.4 Smart Mobility in Transportation -- 3.4 Role of AI in Decision-Making -- 3.4.1 Strategic Management and AI -- 3.4.2 Key Challenges to Adopt AI in India -- 3.5 Conclusion -- References -- 4 Artificial Intelligence: Game Changer in Management Strategies -- 4.1 Introduction -- 4.2 Concept of Artificial Intelligence -- 4.3 Background of "AI" -- 4.4 The Digital Business Vagueness -- 4.5 Digital Transformation in Management -- 4.5.1 Ambition of the Organization -- 4.5.2 To Design a Product -- 4.5.3 Deliver Phase -- 4.5.4 Scaling -- 4.5.5 To Refine -- 4.6 Artificial Intelligence in Organization -- 4.7 Who Is Manager? -- 4.8 "Strategic Management" -- 4.8.1 Connection Between Strategic Management and Artificial Intelligence -- 4.8.2 Improvement and Redefining in the Organization Strategies Vis-a-Vis AI -- 4.8.3 Artificial Intelligence on Strength, Weakness, Opportunities, Threat (SWOT) -- 4.9 Conclusion -- References -- 5 Prospects and Future of Artificial Intelligence (AI) in Business Strategies -- 5.1 Introduction -- 5.2 Literature Review Including Research Gap -- 5.3 Materials and Methods -- 5.3.1 Worldwide Companies or Owners of Humanoid and Related to AI -- 5.3.2 Workforce Domain Contains Retention -- 5.4 Case Study and Application -- 5.4.1 Workforce Planning -- 5.4.1.1 Human Office and Oversight -- 5.4.1.2 Specialized Robustness and Well-being -- 5.4.1.3 Security and Data Organization -- 5.4.1.4 Straightforwardness -- 5.4.1.5 Assortment, Non-isolation, and Sensibility -- 5.4.1.6 Social and Common Success -- 5.4.1.7 Obligation -- 5.4.2 The Interest of Denmark, Finland, France, and Germany in AI is Likewise Significant , 5.4.2.1 Occupation Misfortunes AI in the Work Environment Have Meanings of Mass Occupation Misfortunes -- 5.4.2.2 Expenses -- 5.4.2.3 Absence of Mindfulness -- 5.5 Safety Measures -- 5.5.1 Diminishes Human Error -- 5.5.2 Attempts of Hazardous Undertakings -- 5.5.3 Track Worker Location and That is Only the Tip of the Iceberg -- 5.5.4 Screens Workplace Harassment -- 5.5.5 Work Environment Automation -- 5.6 Recruitment -- 5.7 Authors' Contribution -- 5.8 Result or Conclusion with Future Scope -- References -- 6 Artificial Intelligence: Technologies, Applications, and Policy Perspectives. Insights from Portugal -- 6.1 Introduction -- 6.2 Methodology -- 6.3 AI: Themes, Sectors, and Applications -- 6.4 Policy Reflections About Fostering Artificial Intelligence -- 6.5 EU Artificial Intelligence Strategy 2030 -- 6.6 Portugal Artificial Intelligence Overview -- 6.7 Portuguese AI Case Studies -- 6.8 Artificial Intelligence Policy Ramifications -- 6.9 Conclusion -- References -- 7 The Rise of Decision Intelligence: AI That Optimizes Decision-Making -- 7.1 The Rise of Decision Intelligence (DI) -- 7.2 The Rise of Decision Intelligence (DI) -- 7.3 An Opinion to Decision-Making -- 7.3.1 Decisions Are Judgements -- 7.3.2 Know the Criteria of Relevant Information/Data -- 7.3.3 Test your Opinions Against Reality/Actual Data -- 7.4 Decision Intelligence: The Pathway -- 7.5 A Framework of DI -- 7.6 The Emergence of Machines as Aids in Society -- 7.7 The Evolving Pervasiveness of AI and Capabilities in Human Life -- 7.8 AI, Decision Intelligence, and Business Organizations -- References -- 8 A Survey on Analytics Technique Used for Business Intelligence -- 8.1 Introduction -- 8.2 Literature Review -- 8.3 Models and Techniques: An Overview -- 8.4 Applications -- 8.5 Conclusion -- References , 9 Decision Intelligence Analytics: Making Decisions Through Data Pattern and Segmented Analytics -- 9.1 Introduction -- 9.2 Basic Terminologies -- 9.2.1 Panel Data Analysis -- 9.2.2 Formal Concept Analysis -- 9.3 Formal Panel Concept Analysis -- 9.4 Representation of Panel Data -- 9.5 Experimental Results -- 9.6 Conclusion -- References -- 10 Amalgamation of Business Intelligence with Corporate Strategic Management -- 10.1 Introduction -- 10.2 Strategic Management -- 10.3 The Role of Business Intelligence on Strategic Management Choices -- 10.4 The Role of Data Quality in Strategic Management -- 10.5 The Business Intelligence for Development of Data Integration -- 10.6 The Business Intelligence for the Development of a Reporting System -- 10.7 The Business Intelligence for Developing Future Scenarios -- 10.8 The Business Intelligence for Optimising Processes -- 10.9 The Role of Business Intelligence on Obtaining a Competitive Advantage -- 10.10 Case Study -- 10.11 Conclusion -- References -- 11 Role of Decision Intelligence in Strategic Business Planning -- 11.1 Introduction -- 11.2 Why Does Strategic Business Planning Need Decision Intelligence? And Decision Intelligence: How it Influences SBP? -- 11.2.1 Strategic Business Planning -- 11.2.2 Decision Intelligence -- 11.3 Decision Intelligence in Strategic Business Planning -- 11.4 Decision Intelligence and Strategic Business Planning Misconceptions -- 11.5 Conclusion/Recommendations -- References -- 12 Social and Web Analytics: An Analytical Case Study on Twitter Data -- 12.1 Introduction -- 12.2 Social Media Platforms and Analytics Tools -- 12.2.1 Social Media Platforms -- 12.2.2 Social Media Analytical Tools -- 12.3 Social Media Data Collection Using Twitter API -- 12.3.1 Data Collection from Twitter -- 12.3.2 Data Labeling -- 12.3.3 Data Pre-Processing and Cleaning -- 12.3.4 Data Analytics , 12.4 Conclusion -- References -- 13 People Analytics: Augmenting Horizon from Predictive Analytics to Prescriptive Analytics -- 13.1 Introduction -- 13.2 People Analytics Constituents -- 13.3 Descriptive People Analytics -- 13.4 Predictive People Analytics -- 13.5 Prescriptive People Analytics -- 13.6 Conclusion -- References -- 14 Machine Learning Based Predictive Analytics: A Use Case in Insurance Sector -- 14.1 Introduction -- 14.1.1 Descriptive Analytics -- 14.1.2 Diagnostic Analytics -- 14.1.3 Predictive Analytics -- 14.1.4 Prescriptive Analytics -- 14.2 Machine Learning Empowering Predictive Analytics -- 14.3 A Use Case of Machine Learning and Predictive Analytics: Prediction of Insurance Premium -- 14.3.1 Dataset Description -- 14.3.2 Exploratory Data Analysis -- 14.3.3 Implementation of Prediction Model and Results -- 14.4 Conclusion -- References -- 15 Machine Learning Applications in Decision Intelligence Analytics -- 15.1 Introduction -- 15.1.1 Application of Machine Learning -- 15.1.1.1 Virtual Personal Assistants (VPA's) -- 15.1.1.2 Traffic Predictions -- 15.1.1.3 Social Media Personalization -- 15.1.1.4 Email Spam Filtering -- 15.1.1.5 Online Fraud Detection -- 15.1.1.6 Assistive Medical Technology -- 15.1.1.7 Automatic Translation -- 15.1.1.8 Recommendation Engines -- 15.2 Summary and Conclusion -- References -- 16 Demystifying Behavioral Biases of Traders UsingMachine Learning -- 16.1 Introduction -- 16.1.1 Confirmation Bias -- 16.1.2 Illusion of Control Bias -- 16.1.3 Availability Bias -- 16.1.4 Representativeness Bias -- 16.1.5 Framing Bias -- 16.1.6 Self-Attribution Bias -- 16.1.7 Recency Bias -- 16.1.8 Outcome Bias -- 16.1.9 Cognitive Dissonance Bias -- 16.2 Concluding Remarks -- References , 17 Real-Time Data Visualization Using Business Intelligence Techniques in Small and Medium Enterprises for Making a Faster Decision on Sales Data

Additional Edition: Erscheint auch als Druck-Ausgabe Jeyanthi, P. Mary Decision Intelligence Analytics and the Implementation of Strategic Business Management Cham : Springer International Publishing AG,c2021 ISBN 9783030827625

Language: English