Business Analytics and Decision Making in Practice : Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE / / edited by Ali Emrouznejad, Panagiotis D. Zervopoulos, Ilhan Ozturk, Dima Jamali, John Rice
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| Autore: |
Emrouznejad Ali
|
| Titolo: |
Business Analytics and Decision Making in Practice : Proceedings of the International Conference on Business Analytics in Practice (ICBAP 2024), Sharjah, UAE / / edited by Ali Emrouznejad, Panagiotis D. Zervopoulos, Ilhan Ozturk, Dima Jamali, John Rice
|
| Pubblicazione: | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Edizione: | 1st ed. 2024. |
| Descrizione fisica: | 1 online resource (399 pages) |
| Disciplina: | 658.403 |
| Soggetto topico: | Operations research |
| Business information services | |
| Production management | |
| Business logistics | |
| Artificial intelligence | |
| Quantitative research | |
| Operations Research and Decision Theory | |
| IT in Business | |
| Operations Management | |
| Supply Chain Management | |
| Artificial Intelligence | |
| Data Analysis and Big Data | |
| Altri autori: |
ZervopoulosPanagiotis D
OzturkIlhan
JamaliDima
RiceJohn
|
| Nota di contenuto: | Preface -- Contents -- 1 Internet of Things (IoT) a Trending Technology: Transforms the Hospitality Industry. Case Study: W Costa Navarino (Messinia, Greece) -- Introduction -- Literature Review -- Internet of Things: Application in the Hospitality Industry via Solutions/Examples -- Case Study W Costa Navarino -- Applications of Internet of Things in W Costa Navarino -- Conclusions -- References -- 2 Anomaly Detection in Enterprise Payment Systems: An Ensemble Machine Learning Approach -- Introduction -- Related Work -- Research Methodology -- Data Collection and Preprocessing -- Time Series Model Development -- Experimental Analysis -- SARIMAX Model -- Facebook-Prophet Model -- Support Vector Machines Model -- Performance Evaluation -- Conclusion and Future Work -- Conclusion -- Future Work -- References -- 3 Impact of ChatGPT on Educational Strategies for Future-Proof Business Data Analyst: Machine Learning Code Generation in Teaching and Learning -- Introduction -- Context -- Objectives -- Literature Review |
| Sommario/riassunto: | This book presents selected proceedings of the International Conference on Business Analytics in Practice (ICBAP2024), which was held on January 8–11, 2024, at the University of Sharjah, UAE. The book presents advanced modeling and examples to explore the practical applications of business analytics across various industries and domains. In addition, it dives deep into the world of data-driven decision-making, showcasing real-world case studies and best practices to illustrate how organizations can harness the power of analytics to optimize their decision-making processes. From descriptive analytics to predictive modeling and prescriptive analytics, readers will gain valuable insights into the different techniques and methodologies employed in business analytics. |
| Titolo autorizzato: | Business Analytics and Decision Making in Practice |
| ISBN: | 3-031-61589-1 |
| Formato: | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910886097503321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |
Serie:
Lecture Notes in Operations Research, . 2731-0418