Autore	Yang Hui
Pubbl/distr/stampa	Cham, Switzerland : , : Springer International Publishing, , [2022]
Descrizione fisica	1 online resource (473 pages)
Disciplina	610.28563
Collana	Springer Proceedings in Business and Economics
Soggetto topico	Artificial intelligence - Medical applications Public health - Decision making
ISBN	3-030-75166-X
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UNINA-9910523736403321

Pubbl/distr/stampa	Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica	1 online resource (413 pages)
Disciplina	338.4
Collana	Lecture notes in operations research
Soggetto topico	Service industries - Management Service industries - Technological innovations Artificial intelligence Smart cities
ISBN	3-030-90275-7
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Intro -- Contents -- Deep Learning and Prediction of Survival Period for Breast Cancer Patients -- 1 Introduction -- 2 Related Works -- 3 Dataset -- 3.1 Data Collection and Cleaning -- 3.2 Data Preprocessing -- 4 Research Methodology -- 4.1 Deep Learning Architectures -- 4.2 Model Architecture and Parameters -- 4.3 Model Tuning -- 4.4 Models for Comparison with Previous Research -- 4.5 Feature Importance -- 4.6 Experimental Setting -- 5 Results and Discussion -- 5.1 Evaluation Metrics -- 5.2 Classification Model Results -- 5.3 Regression Model Results -- 5.4 Discussion -- 5.5 Feature Importance -- 6 Conclusions -- References -- Should Managers Care About Intra-household Heterogeneity? -- 1 Introduction -- 2 Literature Review -- 3 Data -- 4 Model -- 5 Results -- 6 Managerial Implications -- 7 Conclusion -- References -- Penalizing Neural Network and Autoencoder for the Analysis of Marketing Measurement Scales in Service Marketing Applications -- 1 Introduction -- 2 Background -- 2.1 Autoencoder -- 2.2 Relationship Between Factor Model and Autoencoder -- 3 Proposed Method -- 4 Empirical Analysis -- 4.1 Data Collection -- 4.2 Comparative Models and Estimations -- 4.3 Result -- 5 Discussion -- 6 Concluding Remarks -- References -- Prediction of Gasoline Octane Loss Based on t-SNE and Random Forest -- 1 Introduction -- 2 Research Method -- 3 Experiment -- 3.1 Nonlinear Dimensionaliy Reduction -- 3.2 Linear Dimension Reduction -- 3.3 Prediction Model of Cotane Loss Based on Random Forfest -- 3.4 Analysis of Model Results -- 4 Conclusion -- References -- Introducing AI General Practitioners to Improve Healthcare Services -- 1 Introduction -- 2 Literature Review -- 3 The Model -- 4 Analytical Results -- 5 Numerical Results -- 6 Discussion -- References -- A U-net Architecture Based Model for Precise Air Pollution Concentration Monitoring. 1 Introduction -- 2 Method -- 2.1 Convolution and Activation -- 2.2 Pooling Layer -- 2.3 Fully Connected Layer -- 3 Data -- 3.1 Satellite Data -- 3.2 Meteorological Data -- 3.3 High Density PM2.5Monitoring Data -- 3.4 Topography Data -- 4 Result -- 5 Application -- 5.1 Beijing Spatial PM2.5Concentration Distribution -- 5.2 High Value Areas -- 6 Summary -- References -- An Interpretable Ensemble Model of Acute Kidney Disease Risk Prediction for Patients in Coronary Care Units -- 1 Introduction -- 2 Data Set -- 2.1 Data Source -- 2.2 Data Pre-processing -- 3 Methods -- 3.1 Framework -- 3.2 Prediction -- 3.3 Interpretation -- 4 Results -- 4.1 Comparison of Different Methodologies with All Patient Features -- 4.2 Comparison of Different Feature Groups -- 4.3 Important Predictors -- 4.4 Fluid Status and Blood Pressure Management for CCU Patients with AKI -- 5 Summary -- References -- Algorithm for Predicting Bitterness of Children's Medication -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Preparation -- 2.2 Molecular Representation -- 2.3 Dimensionality Reduction -- 2.4 Algorithms and Evaluation Metrics -- 2.5 Model Construction -- 3 Results -- 3.1 Chemical Features of Compounds -- 3.2 Application of the Model -- 4 Discussion and Conclusions -- References -- Intelligent Identification of High Emission Road Segment Based on Large-Scale Traffic Datasets -- 1 Introduction -- 2 Methods and Materials -- 2.1 Technical Route -- 2.2 Calculation of Emission Factors -- 2.3 Traffic Flow Simulation -- 2.4 Identification of High-Emission Road Segments -- 3 Application -- 3.1 Road Network Emission Distribution -- 3.2 Road Network Emission Daily Variation -- 3.3 Identification Result of Road Segment with High Emission -- 4 Summary -- References -- Construction Cost Prediction for Residential Projects Based on Support Vector Regression -- 1 Introduction. 2 Determination of Construction Cost Prediction Indicators for Residential Projects -- 2.1 Identification of Construction Cost Prediction Indicators -- 2.2 Quantification of Prediction Indicators -- 2.3 Reduction of Prediction Indicators -- 3 Establishment of Construction Cost Prediction Model Based on Support Vector Regression -- 4 Case Application -- 4.1 Case Description -- 4.2 Data Preprocessing -- 4.3 Construction Cost Prediction -- 5 Summary -- References -- Evolution of Intellectual Structure of Data Mining Research Based on Keywords -- 1 Introduction -- 2 Data -- 2.1 Data Source -- 2.2 Data Acquisition -- 2.3 Data Preprocessing -- 3 Analysis on the Evolution of Keyword Frequency -- 3.1 Some Keywords Appear Often the High-Frequency Keywords Over the 10 Years -- 3.2 Some Keywords Appeared in the Past, but not so in the Present -- 3.3 Some Keywords Appeared only in the Recent Years, but not so in the Present -- 4 Matrix Construction for Co-word Analysis -- 4.1 Word Frequency Estimate -- 4.2 Construction of Co-word Matrix -- 5 Clustering Analysis of the Co-word Matrix -- 5.1 Analysis on the Intellectual Structure in Data Mining from 2007 to 2016 -- 5.2 Analysis on the Intellectual Structure of Data Mining from 2007 to 2011 -- 5.3 An Analysis on the Intellectual Structure of Data Mining from 2012 to 2016 -- 6 Conclusions -- References -- Development of a Cost Optimization Algorithm for Food and Flora Waste to Fleet Fuel (F4) -- 1 Introduction -- 2 Input Parameter Information -- 2.1 AD Capital Costs -- 2.2 AD Operating Costs -- 2.3 Waste Pre-processing and Biogas Conversion Costs -- 2.4 Food and Yard Waste Generation Estimates -- 2.5 Transportation Cost Estimates -- 3 F4Optimization -- 4 Case Study for City of Dallas -- 5 Conclusions and Future Work -- References -- A Comparative Study of Machine Learning Models in Predicting Energy Consumption. 1 Introduction -- 1.1 Related Work -- 2 Data Resource -- 2.1 Data Preparation -- 2.2 Data Pre-processing -- 3 Machine Learning Models -- 4 Results and Conclusions -- References -- Simulation Analysis on the Effect of Market-Oriented Rental Housing Construction Policy in Nanjing -- 1 Introduction -- 2 Policy Mechanism -- 3 Model Building -- 3.1 Basic Assumptions -- 3.2 Consumer Agent Building -- 3.3 Government Agent Building -- 4 Simulation Analysis -- 4.1 Simulation Experiment Design -- 4.2 Data Processing and Parameter Acquisition -- 4.3 Simulation Experiment Analysis -- 5 Suggestions and Conclusions -- 5.1 Suggestions -- 5.2 Conclusions -- References -- Accidents Analysis and Severity Prediction Using Machine Learning Algorithms -- 1 Introduction -- 2 Data Source -- 2.1 Exploratory Data Analysis -- 2.2 Data Preprocessing -- 3 Methodology -- 4 Results and Future Work -- References -- Estimating Discrete Choice Models with Random Forests -- 1 Introduction -- 1.1 Literature Review -- 2 Discrete Choice Models and Binary Choice Forests -- 3 Data and Estimation -- 4 Why Do Random Forests Work Well? -- 5 Numerical Experiments -- 5.1 Real Data: IRI Academic Dataset -- 5.2 Real Data: Hotel -- References -- Prediction and Analysis of Chinese Water Resource: A System Dynamics Approach -- 1 Introduction -- 2 Literature Review -- 3 Problem Statement and Solution Approach -- 3.1 Theory and Method of System Dynamics -- 3.2 System Analysis Water Resources in China -- 3.3 Constructing System Dynamics Model -- 3.4 Simulation Schemes -- 3.5 Output Results -- 3.6 Comparative Analysis -- 4 Numerical Results -- 5 Conclusion -- References -- Pricing and Strategies in Queuing Perspective Based on Prospect Theory -- 1 Introduction -- 2 The Literature Review -- 3 The Model Setup -- 3.1 The Utility Model -- 3.2 The Priority Service Fee and Revenue Management. 4 Objective Optimization and Insights Analysis -- 4.1 Revenue Maximization -- 4.2 Social Welfare Maximization -- 4.3 Utility Maximization -- 5 Comparison Analysis of the Optimal Solutions -- 6 Conclusions and Future Research -- References -- Research on Hotel Customer Preferences and Satisfaction Based on Text Mining: Taking Ctrip Hotel Reviews as an Example -- 1 Introduction -- 2 Online Hotel Review Analysis Process -- 3 Data Acquisition -- 3.1 Data Crawling -- 3.2 Data Preprocessing -- 4 Data Analysis -- 5 Sentiment Analysis -- 5.1 Sentiment Polarity Analysis Using SnowNLP -- 5.2 Sentiment Analysis Effect Evaluation -- 6 Summary -- References -- Broadening the Scope of Analysis for Peer-to-Peer Local Energy Markets to Improve Design Evaluations: An Agent-Based Simulation Approach -- 1 Introduction -- 2 Methodology -- 2.1 Environment Design -- 2.2 Agent Design -- 2.3 Experiment Design -- 3 Results and Discussion -- 3.1 Learning Model Tuning -- 3.2 Local Market Prices -- 3.3 Local Market Efficiency -- 3.4 Local Market Returns and Outcome Stability -- 4 Conclusion and Future Work -- References -- The Power of Analytics in Epidemiology for COVID 19 -- 1 Introduction -- 1.1 Contributions -- 1.2 Literature Review -- 2 Predicting COVID19 Detected Cases -- 2.1 An Aggregate Predictive Method: MIT-Cassandra -- 3 Results with Actual COVID-19 Data -- 3.1 Data Sources and Feature Spaces -- 3.2 Model Predictions -- 4 From Detected Cases to True Prevalence -- 5 Application to Vaccine Allocation -- 5.1 Model Formulation -- 5.2 Intuition on the Vaccine Allocation Policy -- 5.3 Results with Actual COVID-19 Data -- 6 Impact and Conclusion -- 6.1 CDC Benchmark -- 6.2 Conclusion -- References -- Electric Vehicle Battery Charging Scheduling Under the Battery Swapping Mode -- 1 Introduction -- 2 Literature Review. 3 Centralized Battery Charging and Optimized Scheduling Model.
Altri titoli varianti	Artificial intelligence and analytics for smart cities and service systems
Record Nr.	UNINA-9910508460503321

Edizione	[1st ed. 2020.]
Pubbl/distr/stampa	Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica	1 online resource (viii, 403 pages) : illustrations
Disciplina	658.4034
Collana	Springer Proceedings in Business and Economics
Soggetto topico	Operations research Decision making Big data Computers Operations Research/Decision Theory Big Data/Analytics Information Systems and Communication Service
ISBN	3-030-30967-3
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Nota di contenuto	Chapter 1. Cleaning and Processing on the Electric Vehicle Telematics Data -- Chapter 2. Performance Analysis of a Security-Check System with Four Types of Inspection Channels for High-Speed Rail Stations in China -- Chapter 3. LSTM-Based Neural Network Model for Semantic Search -- Chapter 4. Research on the Evaluation of Electric Power Companies’ Safety Capabilities based on Grey Fixed Weight Clustering -- Chapter 5. Analysis of crude oil price fluctuation and transition characteristics at different time scales based on complex networks -- Chapter 6. Understanding of Servicification Trends in China through Analysis of Inter-Industry Network Structure -- Chapter 7. Machine Learning Methods for Revenue Prediction in Google Merchandise Store -- Chapter 8. Predicting Metropolitan Crime Rates Using Machine Learning Techniques -- Chapter 9. Optimizing Ensemble Weights for Machine Learning Models: A Case Study for Housing Price Prediction -- Chapter 10. How do pricing power and service strategy affect the decisions of a dual-channel supply chain?- 11. Designing Value Co-creation for a Free-Floating E-Bike Sharing System -- Chapter 12. Research on Electricity Falling Accident Based on Improved Bode Accident Causation Model -- Chapter 13. Crop Yield Prediction Using Deep Neural Networks -- Chapter 14. Cloud-based Life Sciences Manufacturing System: Integrated Experiment Management and Data Analysis via Amazon Web Services -- Chapter 15. Matching Anonymized Individuals with Errors for Service Systems -- Chapter 16. Developing a Production Structure Model using Service-Dominant Logic – A hypergraph-based Modeling Approach -- Chapter 17. Airworthiness Evaluation Model Based on Fuzzy Neural Network -- Chapter 18. Two-Level Trip Selection and Price Incentive Scheduling in Electric Vehicle Sharing System -- Chapter 19. Research on the Method of Identifying Opinion Leaders Based on Online Word-of-Mouth -- Chapter 20. People Analytics in Practice: Connecting Employee, Customer and Operational Data to Create Evidence-Based Decision Making -- Chapter 21. Multiple-Disease Risk Predictive Modeling based on Directed Disease Networks -- Chapter 22. Service Performance Tests on the Mobile Edge Computing Platform: Challenges and Opportunities -- Chapter 23. Study on an Argumentation-Based Negotiation in Human-Computer Negotiation Service -- Chapter 24. On the Uncertain Accuracy of Seller-Provided Information in the Presence of Online Reviews -- Chapter 25. Route planning for vehicles with UAVs based on set covering -- Chapter 26. Frequency-based Contour Selection of Grey Wave Forecasting Model and its Application in Shanghai Stock Market -- Chapter 27. Research on Information Dissemination Model in WeChat-based Brand Community -- Chapter 28. Structure Evolvement and Equilibrium Analysis of International Credit Rating Market -- Chapter 29. Teaching a Man to Fish: Teaching Cases of Business Analytics -- Chapter 30. The study of fresh products supplier’s comprehensive evaluation based on Balanced Scorecard -- Chapter 31. Maintenance Architecture Optimization of A Distributed CubeSat Network Based on Parametric Model -- Chapter 32. Study on the Control Measures of MDRO Transmission in ICU Based on Markov Process -- Chapter 33. What makes a helpful online review for healthcare services? An empirical analysis of Haodaifu website -- Chapter 34. Analyzing WeChat Diffusion Cascade: Pattern Discovery and Prediction -- Chapter 35. Study on the Relationship between the Logistics Industry and Macroeconomic Factors in China Based on the Grey Incidence.
Record Nr.	UNINA-9910367254703321