Applied Statistical Learning : With Case Studies in Stata / Matthias Schonlau |
Autore | Schonlau, Matthias |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | xv, 332 p. : ill. ; 24 cm |
Soggetto non controllato |
Applications in the Social Sciences
Applied Statistical Learning Case Studies Data Analytics Data Science Methods in the Social Sciences Data science Machine learning Neural networks Random forests Statistical learning Support Vector Machines Text Data Trees |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0278722 |
Schonlau, Matthias
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Cham, : Springer, 2023 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Applied Statistics and Data Science : Proceedings of Statistics 2021 Canada, Selected Contributions / Yogendra P. Chaubey ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | ix, 159 p. : ill. ; 24 cm |
Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
62-XX - Statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] |
Soggetto non controllato |
Actuarial mathematics
Computational statistics Data Analytics Data Mining Data science Environmental Statistics Probability and Statistics in Computer Science Small area estimation Statistical Methods Supply chain Survival analysis |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0274563 |
Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Business intelligence and data mining / / Anil K. Maheshwari |
Autore | Maheshwari Anil <1949-, > |
Edizione | [First edition.] |
Pubbl/distr/stampa | New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015 |
Descrizione fisica | 1 online resource (180 p.) |
Disciplina | 658.4038 |
Collana | Big data and business analytics collection |
Soggetto topico |
Business information services
Data mining Business intelligence |
Soggetto genere / forma | Electronic books. |
Soggetto non controllato |
Data Analytics
Data Mining Business Intelligence Decision Trees Regression Neural Networks Cluster analysis Association rules |
ISBN | 1-63157-121-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index. |
Record Nr. | UNINA-9910459798703321 |
Maheshwari Anil <1949-, >
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New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Business intelligence and data mining / / Anil K. Maheshwari |
Autore | Maheshwari Anil <1949-, > |
Edizione | [First edition.] |
Pubbl/distr/stampa | New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015 |
Descrizione fisica | 1 online resource (180 p.) |
Disciplina | 658.4038 |
Collana | Big data and business analytics collection |
Soggetto topico |
Business information services
Data mining Business intelligence |
Soggetto non controllato |
Data Analytics
Data Mining Business Intelligence Decision Trees Regression Neural Networks Cluster analysis Association rules |
ISBN | 1-63157-121-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index. |
Record Nr. | UNINA-9910787215903321 |
Maheshwari Anil <1949-, >
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New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Business intelligence and data mining / / Anil K. Maheshwari |
Autore | Maheshwari Anil <1949-, > |
Edizione | [First edition.] |
Pubbl/distr/stampa | New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015 |
Descrizione fisica | 1 online resource (180 p.) |
Disciplina | 658.4038 |
Collana | Big data and business analytics collection |
Soggetto topico |
Business information services
Data mining Business intelligence |
Soggetto non controllato |
Data Analytics
Data Mining Business Intelligence Decision Trees Regression Neural Networks Cluster analysis Association rules |
ISBN | 1-63157-121-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Wholeness of business intelligence and data mining -- 2. Business intelligence concepts and applications -- 3. Data warehousing -- 4. Data mining -- 5. Decision trees -- 6. Regression -- 7. Artificial neural networks -- 8. Cluster analysis -- 9. Association rule mining -- 10. Text mining -- 11. Web mining -- 12. Big data -- 13. Data modeling primer -- Additional resources -- Index. |
Record Nr. | UNINA-9910828095403321 |
Maheshwari Anil <1949-, >
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New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Creating Values with Operations and Analytics : A Tribute to the Contributions of Professor Morris Cohen / Hau Lee ... [et al.] editors |
Pubbl/distr/stampa | Cham, : Springer, 2022 |
Descrizione fisica | x, 311 p. : ill. ; 24 cm |
Soggetto non controllato |
Big Data
Data Analytics Design for Triple Bottom Lines Digital Technologies Global Supply Chain Design Leadership Resilience in Operations Service Supply Chain Supply Chain Responsibility Sustainability supply chain management |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0277007 |
Cham, : Springer, 2022 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Data Analytics and Artificial Intelligence for Inventory and Supply Chain Management / Dinesh K. Sharma, Madhu Jain editors |
Pubbl/distr/stampa | Singapore, : Springer, 2022 |
Descrizione fisica | xx, 284 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
Soggetto non controllato |
Artificial Intelligence
Data Analytics Inventory Logistics Operations Research Optimization Warehouse Efficiency supply chain management |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0278359 |
Singapore, : Springer, 2022 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Data Analytics for Management, Banking and Finance : Theories and Application / Foued Saâdaoui, Yichuan Zhao, Hana Rabbouch editors |
Pubbl/distr/stampa | Cham, : Springer, 2023 |
Descrizione fisica | xiv, 334 p. : ill. ; 24 cm |
Soggetto non controllato |
Banking
Big Data Data Analytics Finance Financial data mining Fintech Industry Machine learning Supply Chain Analytics |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0279409 |
Cham, : Springer, 2023 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana |
Autore | Consoli Sergio |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Springer Nature, 2021 |
Descrizione fisica | 1 online resource (XIV, 355 p. 56 illus., 44 illus. in color.) |
Disciplina | 006.312 |
Soggetto topico |
Data mining
Machine learning Management information systems Big data Application software Information storage and retrieval Data Mining and Knowledge Discovery Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval |
Soggetto non controllato |
Data Mining and Knowledge Discovery
Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval IT in Business Computer and Information Systems Applications Open Access Data Mining Big Data Data Analytics Decision Support Systems Semantics and Reasoning Expert systems / knowledge-based systems Business mathematics & systems Public administration Information technology: general issues Information retrieval Data warehousing |
ISBN | 3-030-66891-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Data Science Technologies in Economics and Finance: A Gentle Walk-In -- Supervised Learning for the Prediction of Firm Dynamics -- Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting -- Machine Learning for Financial Stability -- Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms -- Classifying Counterparty Sector in EMIR Data -- Massive Data Analytics for Macroeconomic Nowcasting -- New Data Sources for Central Banks -- Sentiment Analysis of Financial News: Mechanics and Statistics -- Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies -- Extraction and Representation of Financial Entities from Text -- Quantifying News Narratives to Predict Movements in Market Risk -- Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets? -- Network Analysis for Economics and Finance: An application to Firm Ownership. |
Record Nr. | UNISA-996464413703316 |
Consoli Sergio
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Springer Nature, 2021 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Data Science for Economics and Finance : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana |
Autore | Consoli Sergio |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Springer Nature, 2021 |
Descrizione fisica | 1 online resource (XIV, 355 p. 56 illus., 44 illus. in color.) |
Disciplina | 006.312 |
Soggetto topico |
Data mining
Machine learning Management information systems Big data Application software Information storage and retrieval Data Mining and Knowledge Discovery Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval |
Soggetto non controllato |
Data Mining and Knowledge Discovery
Machine Learning Business Information Systems Big Data/Analytics Computer Appl. in Administrative Data Processing Information Storage and Retrieval IT in Business Computer and Information Systems Applications Open Access Data Mining Big Data Data Analytics Decision Support Systems Semantics and Reasoning Expert systems / knowledge-based systems Business mathematics & systems Public administration Information technology: general issues Information retrieval Data warehousing |
ISBN | 3-030-66891-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Data Science Technologies in Economics and Finance: A Gentle Walk-In -- Supervised Learning for the Prediction of Firm Dynamics -- Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting -- Machine Learning for Financial Stability -- Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms -- Classifying Counterparty Sector in EMIR Data -- Massive Data Analytics for Macroeconomic Nowcasting -- New Data Sources for Central Banks -- Sentiment Analysis of Financial News: Mechanics and Statistics -- Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies -- Extraction and Representation of Financial Entities from Text -- Quantifying News Narratives to Predict Movements in Market Risk -- Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets? -- Network Analysis for Economics and Finance: An application to Firm Ownership. |
Record Nr. | UNINA-9910484567403321 |
Consoli Sergio
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Springer Nature, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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