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[null,null,"Titolo",null,"Artificial intelligence for knowledge management : 8th IFIP WG 12.6 International Workshop, AI4KM 2021, held at IJCAI 2020, Yokohama, Japan, January 7-8, 2021, revised selected papers / / Eunika Mercier-Laurent, M. Özgür Kayalica, Mieczyslaw Lech Owoc (editors)"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-80847-5"]
[null,null,"Descrizione fisica",null,"1 online resource (262 pages)"]
[null,null,"Collana",null,"IFIP Advances in Information and Communication Technology ; ; Volume 614"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Knowledge management"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Organization -- Contents -- Ethics and Regulation of Artificial Intelligence -- 1 Introduction -- 2 Ethical Issues Arising from AI -- 3 Responsibility and Liability for Damages Caused by AI -- 4 Transparency and Explainability of AI -- 5 Legal Personhoods for AI -- 6 AI and Implications of Employment -- 6.1 Case Study - Line Between Human and Robo Advisers in Financial Services -- 7 Conclusion -- References -- Ontologies Cooperation to Model the Needs of Disabled Persons -- 1 Introduction -- 2 Context -- 3 Related Works -- 4 Generic Model -- 4.1 Methodology -- 4.2 Foundational Model -- 4.3 Process -- 5 Relational Structure -- 6 Workflow -- 7 Conclusion -- References -- A Conceptual Framework of Intelligent Management Control System for Higher Education -- 1 Introduction -- 2 Related Works -- 3 Research Methodology -- 4 The Framework of the System -- 5 Conclusions -- References -- Curriculum Vitae (CVs) Evaluation Using Machine Learning Approach -- 1 Introduction -- 2 Literature Review -- 3 Proposed System -- 3.1 System Parameterization -- 3.2 Sample Data Collection for Training -- 3.3 Dataset Creation for Testing the Trained Model -- 3.4 CV Extraction and Cleaning Data -- 3.5 Information Extraction using Natural Language Processing -- 3.6 Classification and Final Output Prediction -- 4 Experimentation -- 4.1 Naïve Bayes Classifier -- 4.2 Support Vector Machine (SVM) -- 4.3 Random Forest Classifier -- 5 Conclusion and Future Work -- "]
[{"$nulls":4},"References -- University Students' Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case Studies -- 1 Introduction -- 2 Background -- 3 Student Research Projects and Theses -- 4 Clustering of Students' Research -- 5 AI Methods in the Students' Research -- 6 Knowledge Management in the Students' Research -- 7 Conclusions -- References."]
[{"$nulls":4},"Customer Churn Prediction in FMCG Sector Using Machine Learning Applications -- 1 Introduction -- 2 Literature Review -- 2.1 General Overview -- 2.2 Definition of Customer Churn -- 2.3 Substantiality of Customer Churn -- 3 Data Preparation -- 3.1 Dataset -- 3.2 Sampling -- 3.3 Loyalty Definition -- 3.4 Churn Definition -- 4 Method -- 4.1 RFM Analysis -- 4.2 Segmentation with Clustering -- 4.3 Exploratory Data Analysis, Visualisation and Feature Engineering -- 4.4 Application of Models -- 4.5 Comparison of Each Model for 4 FMCG Product Categories -- 4.6 Impact of Customer Retention Improvement on Revenue -- 5 Findings and Conclusion -- 5.1 Findings -- 5.2 Conclusion -- References -- Crowdsourcing as a Tool Supporting Intra-city Communication -- 1 Introduction -- 2 Smart City -- 3 Selected Smart Initiatives -- 3.1 Singapore -- 3.2 Zürich -- 3.3 Wroclaw -- 4 Implementation of Crowdsourcing Processes -- 5 Conclusions -- References -- The Importance of the Internet of Things for Smart Cities -- 1 Introduction -- 2 Why Do We Need Smart Cities? -- 2.1 The Needs of Modern Cities -- 2.2 Smart City Definition -- 3 Internet of Things -- 3.1 Internet of Things Characteristics -- 3.2 IoT Technologies for Smart Cities -- 4 Internet of Things in a Concept of Smart City -- 4.1 IoT Applications for Smart Cities -- 4.2 Internet of Things Solutions in Smart Cities -- 5 Conclusion -- References -- Developing a Knowledge Base on Climate Change for Metropolitan Cities -- 1 Introduction -- 1.1 The Metropolis of Lyon Case Study -- 1.2 The Metropole of Montpellier Case Study -- 2 State of Art or Related Works on KM and Ontology -- 3 Methodology -- 4 Presentation of the SCO (Smart City Ontology) -- 5 Developing the WEEE Ontology -- 5.1 Eco-design a Key Element for Innovation -- 5.2 Ecosystem of the Recycling Circuit -- 6 Discussions and Conclusion."]
[{"$nulls":4},"6.1 Smart Cities and Waste -- 6.2 Adding Recycling WEEE in the SCO -- References -- Can Artificial Intelligence Effectively Support Sustainable Development? -- 1 Introduction -- 2 Sustainability and Sustainable Development -- 3 Artificial Intelligence and Sustainability -- 3.1 Third Hype of AI -- 3.2 AI Patrimony -- 3.3 AI and Sustainability -- 4 Contribution of AI - Case of Smart City -- 5 Conclusion and Perspective -- References -- Holistic Approach to Smart Factory -- 1 Introduction -- 1.1 Components of Smart Factory: CPS and Digital Twins -- 1.2 Usefulness of the Digital Twin -- 1.3 IoT -- 2 Research Challenge -- 2.1 Workflow of DTNet -- 3 Proposed Approach - A Holistic View of Smart Factory -- 3.1 New Approach to Smart Factory in the Context of I4.0: CMon Formula to Implement Digitalization in Any System -- 3.2 The Definiton of the Research Parameters for DTNet -- 4 Conclusion and Future Work -- References -- Development of Big Data Analytics in a Multi-site Enterprise on the Example of Supply Chain Management -- 1 Introduction -- 2 Background of Big Data -- 3 Supply Chain Management 4.0 - Basic Problems and Challenges -- 4 The Proposal of Analytical Platform for SCM -- 5 The Data Model for SCM -- 6 The Analytics Development Model for SCM in a Multi-site Industrial Enterprise -- 6.1 Development of Pre-processing Data Tools -- 6.2 Development of Data Mining Tools -- 6.3 Application of a Predictive Maintenance Policy in the Enterprise -- 6.4 Benchmarking and Simulation Tools -- 7 Summary -- References -- Analysing Natural "]
[{"$nulls":4},"Gas Prices for Turkey in the Light of a Possible Hub -- 1 Introduction -- 2 Background -- 3 Methodology and Data -- 4 Scenario Analysis -- 4.1 The Impact of COVID-19 Pandemic -- 5 Comparison of Scenarios and Discussion -- 6 Conclusion and Recommendations -- References."]
[{"$nulls":4},"Predicting Power Deviation in the Turkish Power Market Based on Adaptive Factor Impacts -- 1 Introduction -- 2 Literature -- 3 Methodology -- 4 Imbalances in State Regulated Power Markets: Case of Turkey -- 5 Imbalance Prediction Model Proposed -- 5.1 Data -- 5.2 Phase 1: Regressor Selection -- 5.3 Phase 2: Imbalance Trend Prediction -- 5.4 Results and Discussions -- 6 Summary and Conclusion -- Appendix -- References -- Machine Learning Methods in the Inclinometers Readings Anomaly Detection Issue on the Example of Tailings Storage Facility -- 1 Introduction -- 2 Description of the Research Object and Problem -- 3 Analysis of the Inclinometer Changes -- 3.1 Data Description -- 3.2 Shear Zones Detection -- 4 Supervised Learning -- 5 Unsupervised Learning -- 6 Application to Industrial Data -- 7 Summary -- References -- Author Index."]