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Algorithmic Discrimination and Ethical Perspective of Artificial Intelligence [[electronic resource] /] / edited by Muharrem Kılıç, Sezer Bozkuş Kahyaoğlu
| Algorithmic Discrimination and Ethical Perspective of Artificial Intelligence [[electronic resource] /] / 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 |
| 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 [[electronic resource] /] / edited by Vinod Sharma, Chandan Maheshkar, Jeanne Poulose
| Analytics Enabled Decision Making [[electronic resource] /] / 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 |
| Soggetto non controllato |
Computer Science
Electronic Commerce Computers Business & Economics |
| ISBN | 981-19-9658-X |
| 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 |
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 [[electronic resource] ] : 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 [[electronic resource] ] : 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 [[electronic resource] ] : 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence / / edited by Arnab Kumar Laha
| Applied Advanced Analytics [[electronic resource] ] : 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 [[electronic resource] ] : A Practical Guide to Data Science with Case Studies / / by Daniel P. McGibney
| Applied Linear Regression for Business Analytics with R [[electronic resource] ] : 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 |
| Soggetto non controllato |
Commerce
Business & Economics |
| 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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Business Intelligence [[electronic resource] ] : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19–21, 2023, Proceedings / / edited by Rachid El Ayachi, Mohamed Fakir, Mohamed Baslam
| Business Intelligence [[electronic resource] ] : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19–21, 2023, Proceedings / / edited by Rachid El Ayachi, Mohamed Fakir, Mohamed Baslam |
| Autore | El Ayachi Rachid |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (230 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
FakirMohamed
BaslamMohamed |
| Collana | Lecture Notes in Business Information Processing |
| Soggetto topico |
Application software
Machine learning Operations research Business information services Business - Data processing Computer and Information Systems Applications Machine Learning Operations Research and Decision Theory IT in Business Statistical Learning Business Analytics |
| ISBN | 3-031-37872-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence and Business Intelligence -- A business intelligence system for governing risks in SMEs -- A Systematic Analysis for Machine Learning Based Cow Price Prediction -- Deep learning models for cybersecurity in IoT networks -- Diabetes prediction by machine learning algorithms and risks factors -- Machine learning prediction of weather-induced road crash events for experienced and novice drivers: Insights from a driving simulator study -- Ontology-based Mediation with Quality Criteria -- Predicting driving license applicant’s performance for Car Reverse Test System -- Optimization and Decision Support -- A Comparative Study on the implementation of Blockchain in Supply Chain Models -- A Hybrid Approach of Dijkstra’s algorithm and A* search, with an optional adaptive threshold heuristic -- Causal Discovery and features importance analysis: What can be inferred about at-risk students? -- Computational features and applications of an inhomogeneous Gompertz diffusion process? -- Localization and Navigation of ROS-based Autonomous Robot in Hospital Environment -- Three-Phase Hybrid Evolutionary Algorithm for the Bi-Objective Travelling Salesman Problem -- Understanding Data Journalism Acceptance among Social TV Users: A Case Study of Twitter in the United Arab Emirates -- Unveiling the Performance Insights: Benchmarking Anomaly-Based Intrusion Detection Systems using Decision Tree Family Algorithms on the CICIDS2017 Dataset. |
| Record Nr. | UNINA-9910734883103321 |
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El Ayachi Rachid
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Business Intelligence [[electronic resource] ] : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19–21, 2023, Proceedings / / edited by Rachid El Ayachi, Mohamed Fakir, Mohamed Baslam
| Business Intelligence [[electronic resource] ] : 8th International Conference, CBI 2023, Istanbul, Turkey, July 19–21, 2023, Proceedings / / edited by Rachid El Ayachi, Mohamed Fakir, Mohamed Baslam |
| Autore | El Ayachi Rachid |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (230 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
FakirMohamed
BaslamMohamed |
| Collana | Lecture Notes in Business Information Processing |
| Soggetto topico |
Application software
Machine learning Operations research Business information services Business - Data processing Computer and Information Systems Applications Machine Learning Operations Research and Decision Theory IT in Business Statistical Learning Business Analytics |
| ISBN | 3-031-37872-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Artificial Intelligence and Business Intelligence -- A business intelligence system for governing risks in SMEs -- A Systematic Analysis for Machine Learning Based Cow Price Prediction -- Deep learning models for cybersecurity in IoT networks -- Diabetes prediction by machine learning algorithms and risks factors -- Machine learning prediction of weather-induced road crash events for experienced and novice drivers: Insights from a driving simulator study -- Ontology-based Mediation with Quality Criteria -- Predicting driving license applicant’s performance for Car Reverse Test System -- Optimization and Decision Support -- A Comparative Study on the implementation of Blockchain in Supply Chain Models -- A Hybrid Approach of Dijkstra’s algorithm and A* search, with an optional adaptive threshold heuristic -- Causal Discovery and features importance analysis: What can be inferred about at-risk students? -- Computational features and applications of an inhomogeneous Gompertz diffusion process? -- Localization and Navigation of ROS-based Autonomous Robot in Hospital Environment -- Three-Phase Hybrid Evolutionary Algorithm for the Bi-Objective Travelling Salesman Problem -- Understanding Data Journalism Acceptance among Social TV Users: A Case Study of Twitter in the United Arab Emirates -- Unveiling the Performance Insights: Benchmarking Anomaly-Based Intrusion Detection Systems using Decision Tree Family Algorithms on the CICIDS2017 Dataset. |
| Record Nr. | UNISA-996546829403316 |
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El Ayachi Rachid
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Customer-Centricity in Organized Retailing [[electronic resource] ] : A Guide to the Basis of Winning Strategies / / by Manoj Kumar Dash, Manash Kumar Sahu, Jishnu Bhattacharyya, Shivam Sakshi
| Customer-Centricity in Organized Retailing [[electronic resource] ] : A Guide to the Basis of Winning Strategies / / by Manoj Kumar Dash, Manash Kumar Sahu, Jishnu Bhattacharyya, Shivam Sakshi |
| Autore | Dash Manoj Kumar |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Palgrave Macmillan, , 2023 |
| Descrizione fisica | 1 online resource (187 pages) |
| Disciplina | 658.81 |
| Altri autori (Persone) |
SahuManash Kumar
BhattacharyyaJishnu SakshiShivam |
| Soggetto topico |
Marketing
Business Management science Business—Data processing Retail trade Business and Management Business Analytics Trade and Retail |
| ISBN | 981-19-3593-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Customer Centricity -- Organized Retailing -- Tool 1: Structural Equation Modelling (SEM) -- Customer Segmentation -- Tool 2: Multiple Criteria Decision Analysis (MCDA) -- Strategic Mismatch -- Developing an Appropriate Strategy -- Discussion. |
| Record Nr. | UNINA-9910734884603321 |
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Dash Manoj Kumar
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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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Data Analysis with Machine Learning for Psychologists [[electronic resource] ] : Crash Course to Learn Python 3 and Machine Learning in 10 hours / / by Chandril Ghosh
| Data Analysis with Machine Learning for Psychologists [[electronic resource] ] : Crash Course to Learn Python 3 and Machine Learning in 10 hours / / by Chandril Ghosh |
| Autore | Ghosh Chandril |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (169 pages) |
| Disciplina | 780 |
| Soggetto topico |
Psychology
Business - Data processing Cognitive science Mental health Social sciences - Statistical methods Psychology - Methodology Behavioral Sciences and Psychology Business Analytics Cognitive Science Mental Health Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy Psychological Methods Psicologia Processament de dades Investigació Metodologia de les ciències socials |
| Soggetto genere / forma | Llibres electrònics |
| ISBN |
9783031146343
9783031146336 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Step 1:Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. Python Programming -- Step 2:Data Pre-Processing -- Step 3: Data Analysis with Machine Learning -- End Note. . |
| Record Nr. | UNINA-9910619273603321 |
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Ghosh Chandril
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Essays on Financial Analytics [[electronic resource] ] : Applications and Methods / / edited by Pascal Alphonse, Karima Bouaiss, Pascal Grandin, Constantin Zopounidis
| Essays on Financial Analytics [[electronic resource] ] : Applications and Methods / / edited by Pascal Alphonse, Karima Bouaiss, Pascal Grandin, Constantin Zopounidis |
| Autore | Alphonse Pascal |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (344 pages) |
| Disciplina | 332.076 |
| Altri autori (Persone) |
BouaissKarima
GrandinPascal ZopounidisConstantin |
| Collana | Lecture Notes in Operations Research |
| Soggetto topico |
Operations research
Financial engineering Business - Data processing Financial risk management Financial services industry Management science Operations Research and Decision Theory Financial Engineering Business Analytics Risk Management Financial Services Operations Research, Management Science |
| ISBN | 3-031-29050-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foreign exchange risk hedging policy: Evidence from France -- Use of Financial Instruments among the Chilean households -- IFRS 9 -Financial Assets: Debt Instrument Classification and Management under the new Accounting Standard. A case study of Greek Government Bonds, in Banks’ Investment Portfolios.-Investor Attention and Bitcoin Trading Behaviors -- An answer to Roll’s critique (1977) forty five years later -- Detecting Equity Style Information within Institutional Media -- An Advanced Approach to Algorithmic Portfolio Management -- Financial analytics and decision-making strategies: future prospects from Bibliometrix based on R package -- MONETARY UTILITY FUNCTIONS AND RISK FUNCTIONALS -- Cryptocurrency Portfolios Using Heuristics -- Geographic Dispersion and IPO Underpricing -- The Rise of Fintech & Healthcare SPACs.-KOOPMAN OPERATORS AND EXTENDED DYNAMIC MODE DECOMPOSITION FOR ECONOMIC GROWTH MODELS IN TERMS OF FRACTIONAL DERIVATIVES -- Efficiency, taxation & solvency issues for SMEs: The case of Greece, Italy and Spain. |
| Record Nr. | UNINA-9910739412603321 |
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Alphonse Pascal
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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