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ABCD Tech : Revolutionizing Business with Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics / / by Riktesh Srivastava
| ABCD Tech : Revolutionizing Business with Artificial Intelligence, Blockchain, Cloud Computing, and Data Analytics / / by Riktesh Srivastava |
| Autore | Srivastava Riktesh |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (196 pages) |
| Disciplina |
650.0285
658.05 |
| Soggetto topico |
Business - Data processing
Business information services Economic development Business Informatics IT in Business Economic Development, Innovation and Growth Business Analytics |
| ISBN |
9789819643097
9819643090 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction to ABCD Technologies -- Understanding Artificial Intelligence -- Exploring Blockchain Technology -- Leveraging Cloud Computing -- Data Analytics for Business. |
| Record Nr. | UNINA-9910991176303321 |
Srivastava Riktesh
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Interdisciplinary Research in Engineering and Business Management / / edited by P. K. Kapur, Gurinder Singh, Saurabh Panwar
| Advances in Interdisciplinary Research in Engineering and Business Management / / edited by P. K. Kapur, Gurinder Singh, Saurabh Panwar |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (xiv, 495 pages) : illustrations (some color) |
| Disciplina | 658.4038 |
| Collana | Asset Analytics, Performance and Safety Management |
| Soggetto topico |
Electronic digital computers - Evaluation
Quantitative research Business - Data processing Data structures (Computer science) Information theory Mathematical models System Performance and Evaluation Data Analysis and Big Data Business Analytics Data Structures and Information Theory Mathematical Modeling and Industrial Mathematics |
| ISBN | 981-16-0037-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Study of Barriers Faced by Consumers in Using UPI Based Apps -- Reliability Analysis of a System Using Universal Generating Function -- The Missing Link of Job Analysis: A Case Study -- Data Mining Techniques and its Application in Civil Engineering-A Review -- Quality Management: Yesterday, Today and Tomorrow -- Analysis of Systolic Blood Pressure Via Machine learning -- Conservation of Forests using Satellite Imaging. |
| Record Nr. | UNINA-9910484288203321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in the Theory and Applications of Performance Measurement and Management : Proceedings of DEA45—International Conference on Data Envelopment Analysis / / edited by Ali Emrouznejad, Emmanuel Thanassoulis, Mehdi Toloo
| Advances in the Theory and Applications of Performance Measurement and Management : Proceedings of DEA45—International Conference on Data Envelopment Analysis / / edited by Ali Emrouznejad, Emmanuel Thanassoulis, Mehdi Toloo |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (322 pages) |
| Disciplina | 658.4034 |
| Collana | Lecture Notes in Operations Research |
| Soggetto topico |
Operations research
Business - Data processing Production management Business information services Big data Operations Research and Decision Theory Business Analytics Operations Management IT in Business Big Data |
| ISBN | 3-031-61597-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Remembering Jon A. Chilingerian -- 1 Jon A. Chilingerian, 1951-2023 -- 2 Other Voices -- 2.1 Dr. Stuart Altman, Brandeis University -- 2.2 Dr. Joe Zhu, Worcester Polytechnic Institute -- 2.3 Dr. Stephen Chick, INSEAD -- 2.4 Dr. Regina Herzlinger, Harvard University -- 2.5 Dr. H. David Sherman, Northeastern University -- 3 In Conclusion -- References -- Inference in Dynamic, Nonparametric Models of Production for General Technologies -- 1 Introduction -- 1.1 Basic Notation -- 2 Nonparametric Estimators -- 2.1 A Data Generating Process (DGP) -- 2.2 Popular Envelopment Estimators -- 2.3 Cone Spanned by upper Psi -- 2.4 Efficiency Estimators -- 2.5 Statistical Properties -- 3 Dynamic Settings -- 3.1 Malmquist Productivity Indices -- 3.2 Sources of Productivity Changes -- 3.3 Nonparametric Estimation -- 3.4 Inference for Geometric Means -- 4 Malmquist Indices in Action -- References -- Can Super-Efficiencies Improve Bias Correction? A Bayesian Data Envelopment Analysis Approach -- 1 Introduction -- 2 Methodology -- 2.1 Super-Efficiency DEA -- 2.2 Conventional Statistical Inference -- 2.3 Bayesian Statistical Inference -- 2.4 Bias Correction -- 3 Data Set and Selection of Variables -- 4 Empirical Results -- 5 Concluding Remarks and Future Research -- References -- Efficiency and Productivity of Italian Theatrical Firms. A Non-parametric Approach -- 1 Introduction -- 2 Background -- 3 Methods and Empirical Approach -- 3.1 FDH Versus DEA -- 3.2 Double-Bootstrap DEA Algorithm -- 3.3 Malmquist TFP Index -- 4 Data Set and Variables -- 5 Findings -- 5.1 TE and SE Scores -- 5.2 Estimates of Efficiency Determinants -- 5.3 Total Factor Productivity -- 6 Conclusions -- References -- DEA with Bootstrap, Weight Restrictions and Negative Outputs: Shortcomings of the Proposal for the Brazilian Distribution System Operators Regulation.
1 Introduction -- 2 The Actual Regulatory DSO Benchmarking Proposal -- 2.1 Basic Setting -- 2.2 Definition of Weight Restrictions Using Bootstrap -- 2.3 Treatment of Electricity Service Quality Using Negative Outputs -- 2.4 Outline of the Proposed Steps for Computing the DSOs' Efficiency Scores -- 3 Analysis of the Regulatory DSO Benchmarking Proposal -- 3.1 Loss of Peer Benchmarking -- 3.2 Analysis of the Use and Estimation of Weight Restrictions -- 3.3 Regulatory Signal Using the Negative Outputs CHI and PNT -- 4 Conclusion -- References -- Empirical Estimation of the Production Frontier -- 1 Introduction -- 2 Methodology -- 2.1 Estimating the Frontier with Consideration for Random Inefficiencies -- 2.2 Estimating the Frontier with Consideration for Random Noise -- 3 Conclusion -- References -- Towards Gaining Robustness in Inverse Data Envelopment Analysis Models -- 1 Introduction -- 1.1 Deterministic IDEA Models -- 1.2 Imprecise DEA and IDEA Models -- 1.3 Research Aims and Contributions -- 2 Basic Models and Motivation -- 2.1 Basic DEA Models -- 2.2 Basic IDEA Models -- 2.3 Existing Robust DEA Models -- 3 Proposed Robust DEA and Robust IDEA Models -- 3.1 Proposed Robust IDEA -- 4 Conclusion -- References -- A Selecting Data Envelopment Analysis Approach Under an Onion Framework to Select Quality Service Criteria and Evaluate the Perception of Airport Concessionaires' Users About Brazilian Airports -- 1 Introduction -- 2 Literature Review -- 2.1 Selecting DEA Model -- 2.2 Brazilian Airports and DEA -- 3 Methodology and Procedures -- 4 Results -- 5 Final Remarks -- References -- Applying Path-Based Models to Negative Data with a Focus on Super-Efficiency -- 1 Introduction -- 2 Preliminaries -- 3 Super-Efficiency for the Path-Based Models -- 4 Analysing the Super-Efficiency for Models with Different Direction Vectors. 5 Illustrative Numerical Examples -- 6 Conclusion -- References -- Fuzzy Utility Mining on DEA -- 1 Introduction -- 1.1 Importance of Study -- 1.2 The History of Using Fuzzy Data in DEA -- 2 Article Technique -- 3 Practical Example -- 4 Discussion -- Bibliography -- A Generalized DEA Approach to Performance Assessment: Case Study of Northern Adriatic Ports -- 1 Introduction -- 2 Literature Review -- 3 Research Methodology -- 3.1 SBM Model for Measuring Efficiencies -- 3.2 Generalized SBM Model with Uncertain Data -- 4 Empirical Study -- 4.1 Inputs and Outputs Selection -- 4.2 Efficiency Scores -- 5 Discussion and Conclusion -- References -- Development of Intuitionistic Fuzzy Revenue Efficiency Models in DEA: An Application to the Indian Public Sector Banks -- 1 Introduction -- 2 Preliminaries -- 3 Revenue Efficiency (RE) -- 4 Proposed Intuitionistic Fuzzy Revenue Efficiency Model (IFREM) -- 5 Methodology for Solving Proposed IFREM -- 5.1 Model Based on alphaα-Cut -- 5.2 Model Based on betaβ-Cut -- 6 Application to the Indian Banking Sector -- 7 Conclusion -- References -- Environmental Performance of Coal-Based Thermal Generation Plants: A Two-Stage DEA Model with Undesirable Outputs -- 1 Introduction -- 2 Performance Analysis of Thermal Power Plants: A Literature Review -- 3 Methodology and Model Description -- 4 Selection of Output and Input Indicators for Thermal Power Plants -- 5 Factors Affecting Thermal Efficiency: Results and Discussions -- 6 Conclusions and Scope for Further Research -- References -- Does Income Diversification Affect Bank Efficiency, Effectiveness and Performance? Evidence from Indian Banking Industry -- 1 Introduction -- 2 Literature Review -- 2.1 Bank Performance and Diversification -- 2.2 Bank Efficiency and Diversification -- 3 Data and Methodology -- 3.1 Data. 3.2 Methodology for Computing Bank Performance, Efficiency, and Effectiveness Score -- 3.3 Results and Inferences -- 4 Conclusion and Limitations -- References -- Health Efficiency Measurement of Turkish Provinces Using DEA, TOPSIS and EDAS Methods -- 1 Introduction -- 2 Methodology -- 2.1 Data Envelopment Analysis -- 3 Models and Data -- 3.1 Models -- 3.2 Data and Correlation -- 4 Results -- 4.1 Results of DEA -- 4.2 Results of TOPSIS -- 4.3 Results of EDAS -- 4.4 Results of Tobit Analysis -- 4.5 Discussion -- 5 Conclusion -- References -- Performance Evaluation of University Faculty Members Using DEA Models with Categorical Variables -- 1 Introduction -- 2 Data Collection -- 3 DEA Models Applied for PA -- 4 Analysis of the Results -- 4.1 Categorical Problem -- 4.2 Effect of Weight Restrictions -- 5 Conclusions -- References -- Regional Surgical Systems Response to COVID-19 Pandemic-Preliminary Insights Through Longitudinal DEA -- 1 Introduction -- 2 Data and Methodology -- 2.1 Study Design -- 2.2 Data Sources -- 2.3 Model and Formulation -- 3 Results and Discussion -- 4 Conclusion -- References -- An Analysis of the Malmquist-DEA Productivity Index Applied to the Segment of Electric Power Transmission in Brazil -- 1 Introduction -- 2 Materials and Methods -- 2.1 Regulatory Operating Costs and Malmquist Index -- 2.2 Data Base and Scenarios -- 3 Results and Discussion -- 4 Conclusions -- References -- Primary Healthcare Efficiency Assessment Using Panel Data -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data and Variables -- 2.2 Methodology -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Maximizing Efficiency and Mobility in Education Funding: A Three-Stage Centralized Data Envelopment Analysis Model -- 1 Introduction -- 2 A Short Literature on the Centralized DEA Model -- 3 Centralized DEA Framework -- 4 Results and Discussion. 4.1 Descriptive Statistics -- 4.2 Results of the Centralized DEA Model -- 5 Conclusions -- Appendix -- References -- Impact of China's Agricultural Water Policy Reforms on Water Usage Efficiency and Total Factor Productivity Change -- 1 Introduction -- 2 Methodology -- 2.1 DEA-SBM Model -- 2.2 DEA-Meta Frontier Model -- 2.3 DEA-Malmquist Productivity Index -- 2.4 Mann Whitney U and Kruskal-Wallis Tests -- 3 Inputs-Outputs Selection and Data Sources -- 4 Results and Discussion -- 4.1 Agricultural Water Usage Efficiency in China (2000-2020) -- 4.2 Production Technology Heterogeneity -- 4.3 Total Factor Productivity Change -- 4.4 Statistically Significant Differences Among Different Periods and Regions -- 5 Conclusion and Policy Implications -- References -- Using DEA to Identify Hispanic Serving Institutions for Best Practices in Increasing STEM Degrees Awarded to Hispanics -- 1 Introduction -- 1.1 Statement of the Problem -- 1.2 Background and Significance -- 2 Research Plan -- 2.1 Data Source: IPEDS -- 2.2 Conduct IPEDS Quality Data Audit -- 3 Results -- 3.1 Selected IPEDS Data -- 4 Future Research -- 4.1 Selection of Inputs and Outputs and Number of HSIs -- 4.2 Validation of Most Highly Effective STEM Best Practices -- 5 Broader Impact and Intellectual Merit -- References -- DEA as a Tool for Policy Formulation in the Public Basic Education: An Application in Brazilian Schools -- 1 Introduction -- 2 Education in Brazil -- 3 Public Policy Theory -- 4 Public Policies in Education -- 5 Data Envelopment Analysis in Policy Cycle -- 6 Conclusions -- References -- DEA-Viz: A Software for Visualization of Data Envelopment Analysis Problems -- 1 Introduction -- 2 Visualization of DEA Problems -- 3 DEA-Viz -- 3.1 Exploration of a Real Dataset -- 3.2 Data Importation -- 3.3 Distributions -- 3.4 Correlations -- 3.5 Cross-Efficiency Unfolding. 3.6 Porembski Graph. |
| Record Nr. | UNINA-9910886082503321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Agent AI for Finance : From Financial Argument Mining to Agent-Based Modeling / / by Chung-Chi Chen, Hiroya Takamura
| Agent AI for Finance : From Financial Argument Mining to Agent-Based Modeling / / by Chung-Chi Chen, Hiroya Takamura |
| Autore | Chen Chung-Chi |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (145 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) | TakamuraHiroya |
| Collana | SpringerBriefs in Intelligent Systems, Artificial Intelligence, Multiagent Systems, and Cognitive Robotics |
| Soggetto topico |
Artificial intelligence
Multiagent systems Machine learning Business - Data processing Business information services Natural language processing (Computer science) Artificial Intelligence Multiagent Systems Machine Learning Business Analytics Business Information Systems Natural Language Processing (NLP) |
| ISBN | 3-031-94687-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Preface -- 1. Introduction -- 2. Financial Argument Mining -- 3. Single-Agent/Model Design -- 4. Multi-Agent Interaction -- 5. Multi-Scale Model Synergy -- 6. Generative AI Application Scenarios -- 7. Looking to the Future. |
| Record Nr. | UNINA-9911016071403321 |
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Chen Chung-Chi
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Algorithmic Discrimination and Ethical Perspective of Artificial Intelligence / / edited by Muharrem Kılıç, Sezer Bozkuş Kahyaoğlu
| Algorithmic Discrimination and Ethical Perspective of Artificial Intelligence / / edited by Muharrem Kılıç, Sezer Bozkuş Kahyaoğlu |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (231 pages) |
| Disciplina | 006.3 |
| Collana | Accounting, Finance, Sustainability, Governance & Fraud: Theory and Application |
| Soggetto topico |
Business - Data processing
Human rights Logic programming Machine learning Business Analytics Human Rights Logic in AI Machine Learning Negocis Processament de dades Drets humans Programació lògica Aprenentatge automàtic |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 981-9963-27-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Socio-Political Analysis Of AI-Based Discrimination In The Meta-Surveillance Universe -- Rethinking Non-Discrimination Law In The Age Of Artificial Intelligence -- Data Protection Legislation, Artificial Intelligence and Discrimination -- Can The Right To Explanation Right In GDPR Be A Remedy For Algoritmic Discrimination? -- Sufficency Of Struglling With The Current Criminal Law Rules on the Use Of Artificial Intelligence in CrimePrevention of Discrimination in the Practices of Predictive Policing -- Issues That May Arise From Usage Of Artificial Intelligence Technologies In Criminal Justice and Law Enforcement -- Artificial Intelligence And Prohibition of Discrimination From The Perspective of Private Law -- Legal Challenges of Artificial Intelligence In Healthcare -- The Impact Of Artificial Intelligence On Social Rights -- An Investigation On The Detection Of Discrimination and Hate Speech Shared On Social Media Platforms Using Artificial Intelligence Methods -- The New Era: Transforming Healthcare -- Quality With Artificial Intelligence -- Managing Artificial Intelligence Algorithmic Discrimination: The Internal Audit Function Role. |
| Record Nr. | UNINA-9910760296803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Analytics Enabled Decision Making / / edited by Vinod Sharma, Chandan Maheshkar, Jeanne Poulose
| Analytics Enabled Decision Making / / edited by Vinod Sharma, Chandan Maheshkar, Jeanne Poulose |
| Autore | Sharma Vinod |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Palgrave Macmillan, , 2023 |
| Descrizione fisica | 1 online resource (315 pages) |
| Disciplina | 658.403 |
| Altri autori (Persone) |
MaheshkarChandan
PouloseJeanne |
| Soggetto topico |
International business enterprises
Information technology - Management Business information services Business - Data processing Electronic commerce International Business Business Process Management Business Information Systems Business Analytics E-Business Business IT Infrastructure |
| ISBN |
9789811996580
981199658X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Next generation smart manufacturing and service systems using big data analytics -- Chapter 2 Elements of decision making under uncertainty -- Chapter 3 Data, Inference, and Marketing Decisions -- Chapter 4 Competitor and competition Analysis through analytics -- Chapter 5 Influence of big data analytics on business intelligence -- Chapter 6 Improved price alignment to perceived value of product/service using data analytics -- Chapter 7 Changing the landscape of retailing using pricing analytics -- Chapter 8 Enhancing efficiency and effectiveness in supply chain management through Business Intelligence -- Chapter 9 Quantifying thoughts and feelings about a company from big data to improve brand strength -- Chapter 10 Enabling achievement of organisational/corporate goals through HR analytics -- Chapter 11 Workforce Analytics facilitates Human Resource Demand Forecasting -- Chapter 12 Ascertainment of Employee Competencies and measurement with greater precision using T&D Analytics.-Chapter 13 Analytics to Measure Employees’ Behavioural Traits and predict employee performance -- Chapter 14 Using predictive analytics alongside psychometric assessments and other measures to identify the candidates with the right performance and behavioural criteria -- Chapter 15 Designing competitive yet cost effective compensation packages using analytics to reduce attrition -- Chapter 16 Mitigating Compliance Failure Risk using Analytics (gender equal pay, overtime payments, appropriate number of each category of employees) -- Chapter 17 Predictive analytics to aid employee alignment with the culture of the organisation -- Chapter 18 Analysing the impact of Employees’ Satisfaction and Frustration on their and organizations’ performance -- Chapter 19 Assessing and Controlling Political Behaviour of Groups in Organizations -- Chapter 20 Measuring Organizational/Industrial Citizenship Behaviour -- Chapter 21 Psychological Framework and Methodology for Analysing Decision Risk -- Chapter 22 Analysing Challenging Behaviours of Two Individuals with Intellectual Differences/Disability -- Chapter 23 Measuring the effectiveness of data analytics in higher education to improve student outcomes -- Chapter 24 Building an industry 4.0 analytics platform with a proven example and proof of concept -- Chapter 25 Gaining competitive advantage through business analytics. |
| Record Nr. | UNINA-9910726277303321 |
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Sharma Vinod
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| Singapore : , : Springer Nature Singapore : , : Imprint : Palgrave Macmillan, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applications of Emerging Technologies and AI/ML Algorithms : International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) / / edited by Manoj Kumar Tiwari, Madhu Ranjan Kumar, Rofin T. M., Rony Mitra
| Applications of Emerging Technologies and AI/ML Algorithms : International Conference on Data Analytics in Public Procurement and Supply Chain (ICDAPS2022) / / edited by Manoj Kumar Tiwari, Madhu Ranjan Kumar, Rofin T. M., Rony Mitra |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (402 pages) |
| Disciplina | 060 |
| Collana | Asset Analytics, Performance and Safety Management |
| Soggetto topico |
Business logistics
Business - Data processing Industrial procurement Machine learning Quantitative research Supply Chain Management Business Analytics Procurement Machine Learning Data Analysis and Big Data |
| ISBN | 981-9910-19-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1: Q-Learning Approach to Mitigate Bacterial Contamination in Food Supply Chain -- Chapter 2: Optimization of Network Planning in a Real-Life Vehicle Logistics Distribution System -- Chapter 3: Efficient Supplier Selection in e-Procurement Reverse Auction using Graph Based Model -- Chapter 4: Role of E-procurement and Blockchains in Government Tendering- A Case of China Omnichannel distribution network design for fresh-food procurement considering freshness keeping effort and food quality loss. |
| Record Nr. | UNINA-9910746082903321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Advanced Analytics : 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence / / edited by Arnab Kumar Laha
| Applied Advanced Analytics : 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence / / edited by Arnab Kumar Laha |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (236 pages) |
| Disciplina | 658.4038011 |
| Collana | Springer Proceedings in Business and Economics |
| Soggetto topico |
Operations research
Business - Data processing Business information services Business enterprises - Finance Management Statistics Operations Research and Decision Theory Business Analytics IT in Business Corporate Finance Applied Statistics |
| ISBN | 981-336-656-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Streams -- Robust Statistics -- Explainable Artificial Intelligence Model: Analysis of Neural Network Parameters -- Mitigating Agricultural Lending Risk: An Advanced Analytical Approach. |
| Record Nr. | UNINA-9910484698803321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies / / by Daniel P. McGibney
| Applied Linear Regression for Business Analytics with R : A Practical Guide to Data Science with Case Studies / / by Daniel P. McGibney |
| Autore | McGibney Daniel P. |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (286 pages) |
| Disciplina | 650.0285 |
| Collana | International Series in Operations Research & Management Science |
| Soggetto topico |
Operations research
Regression analysis Business information services Business - Data processing Mathematical statistics - Data processing Operations Research and Decision Theory Linear Models and Regression IT in Business Business Analytics Statistics and Computing |
| ISBN | 3-031-21480-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- 2. Basic Statistics and Functions using R -- 3. Regression Fundamentals -- 4. Simple Linear Regression -- 5. Multiple Regression -- 6. Estimation Intervals and Analysis of Variance -- 7. Predictor Variable Transformations -- 8. Model Diagnostics -- 9. Variable Selection. |
| Record Nr. | UNINA-9910728934203321 |
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McGibney Daniel P.
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Artificial Intelligence in Business Management / / by Teik Toe Teoh, Yu Jin Goh
| Artificial Intelligence in Business Management / / by Teik Toe Teoh, Yu Jin Goh |
| Autore | Teoh Teik Toe |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (385 pages) |
| Disciplina | 658 |
| Collana | Machine Learning: Foundations, Methodologies, and Applications |
| Soggetto topico |
Computational intelligence
Artificial intelligence Business - Data processing Machine learning Python (Computer program language) Computational Intelligence Artificial Intelligence Business Analytics Machine Learning Python |
| ISBN | 981-9945-58-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Artificial Intelligence Algorithms -- Chapter 1. Introduction to Artificial Intelligence -- Chapter 2. Regression -- Chapter 3. Classification -- Chapter 4. Clustering -- Chapter 5. Time Series -- Chapter 6. Convolutional Neural Networks -- Chapter 7. Text Mining -- Chapter 8. Chatbot, Speech and NLP -- Part II: Applications of Artificial Intelligence in Business Management -- Chapter 9. AI in Human Resource Management -- Chapter 10. AI in Sales -- Chapter 11. AI in Marketing -- Chapter 12. AI in Supply Chain Management -- Chapter 13. AI in Operations Management -- Chapter 14. AI in Corporate Finance -- Chapter 15. AI in Business Law -- Chapter 16. AI in Business Strategy -- References -- Index. |
| Record Nr. | UNINA-9910767506903321 |
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Teoh Teik Toe
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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