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Business Analytics : Data Science for Business Problems / Walter R. Paczkowski
Business Analytics : Data Science for Business Problems / Walter R. Paczkowski
Autore Paczkowski, Walter R.
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xxxviii, 387 p. : ill. ; 24 cm
Soggetto topico 68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
90B60 - Marketing, advertising [MSC 2020]
Soggetto non controllato Business Analytics
Business intelligence
Classification
Data Visualization
Data cube
Data science
Econometrics
Logistic Regression
Machine learning
Regression analysis
Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274612
Paczkowski, Walter R.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Business Analytics : Data Science for Business Problems / Walter R. Paczkowski
Business Analytics : Data Science for Business Problems / Walter R. Paczkowski
Autore Paczkowski, Walter R.
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xxxviii, 387 p. : ill. ; 24 cm
Soggetto topico 62-XX - Statistics [MSC 2020]
68-XX - Computer science [MSC 2020]
90B60 - Marketing, advertising [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
Soggetto non controllato Business Analytics
Business intelligence
Classification
Data Visualization
Data cube
Data science
Econometrics
Logistic Regression
Machine learning
Regression analysis
Statistics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274612
Paczkowski, Walter R.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Customer intimacy analytics : leveraging operational data to assess customer knowledge and relationships and to measure their business impact / / by François Habryn
Customer intimacy analytics : leveraging operational data to assess customer knowledge and relationships and to measure their business impact / / by François Habryn
Autore Habryn François
Pubbl/distr/stampa KIT Scientific Publishing, 2012
Descrizione fisica 1 online resource (356 pages) : illustrations
Soggetto topico Customer intimacy
Business analytics
Social networks
Soggetto non controllato Services
Social Networks
Business Analytics
Customer Intimacy
Strategy
ISBN 1000028159
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Altri titoli varianti Customer intimacy analytics
Record Nr. UNINA-9910137091603321
Habryn François  
KIT Scientific Publishing, 2012
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Excel 2019 for Marketing Statistics : A Guide to Solving Practical Problems / Thomas J. Quirk, Eric Rhiney
Excel 2019 for Marketing Statistics : A Guide to Solving Practical Problems / Thomas J. Quirk, Eric Rhiney
Autore Quirk, Thomas J.
Edizione [2. ed]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xix, 238 p. : ill. ; 24 cm
Altri autori (Persone) Rhiney, Eric
Soggetto topico 62-XX - Statistics [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]
97N80 - Mathematical software, computer programs (educational aspects) [MSC 2020]
Soggetto non controllato Applied Marketing Statistics
Business Analytics
Excel 2019
Excel 2019 Marketing Statistics
Excel Guide
Excel Marketing
Excel Statistics
Marketing Statistics
Practical Marketing Statistics
Statistics for Marketing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0274727
Quirk, Thomas J.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Excel 2019 for Marketing Statistics : A Guide to Solving Practical Problems / Thomas J. Quirk, Eric Rhiney
Excel 2019 for Marketing Statistics : A Guide to Solving Practical Problems / Thomas J. Quirk, Eric Rhiney
Autore Quirk, Thomas J.
Edizione [2. ed]
Pubbl/distr/stampa Cham, : Springer, 2021
Descrizione fisica xix, 238 p. : ill. ; 24 cm
Altri autori (Persone) Rhiney, Eric
Soggetto topico 62-XX - Statistics [MSC 2020]
62P05 - Applications of statistics to actuarial sciences and financial mathematics [MSC 2020]
97N80 - Mathematical software, computer programs (educational aspects) [MSC 2020]
Soggetto non controllato Applied Marketing Statistics
Business Analytics
Excel 2019
Excel 2019 Marketing Statistics
Excel Guide
Excel Marketing
Excel Statistics
Marketing Statistics
Practical Marketing Statistics
Statistics for Marketing
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00274727
Quirk, Thomas J.  
Cham, : Springer, 2021
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
How to Build a Modern Tontine : Algorithms, Scripts and Tips / Moshe Arye Milevsky
How to Build a Modern Tontine : Algorithms, Scripts and Tips / Moshe Arye Milevsky
Autore Milevsky, Moshe Arye
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xxi, 156 p. : ill. ; 24 cm
Soggetto non controllato Business Analytics
Decumulation
Insurance
Mathematical Finance
Retirement
Risk management
Statistical finance
Tontine
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0277594
Milevsky, Moshe Arye  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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How to Build a Modern Tontine : Algorithms, Scripts and Tips / Moshe Arye Milevsky
How to Build a Modern Tontine : Algorithms, Scripts and Tips / Moshe Arye Milevsky
Autore Milevsky, Moshe Arye
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xxi, 156 p. : ill. ; 24 cm
Soggetto non controllato Business Analytics
Decumulation
Insurance
Mathematical Finance
Retirement
Risk management
Statistical finance
Tontine
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00277594
Milevsky, Moshe Arye  
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
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Machine Learning for Practical Decision Making : A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics / Christo El Morr ... [et al.]
Machine Learning for Practical Decision Making : A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics / Christo El Morr ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xvii, 465 p. : ill. ; 24 cm
Soggetto topico 90-XX - Operations research, mathematical programming [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020]
Soggetto non controllato Business Analytics
Decision making
Engineering
Healthcare
Machine learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0277817
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Machine Learning for Practical Decision Making : A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics / Christo El Morr ... [et al.]
Machine Learning for Practical Decision Making : A Multidisciplinary Perspective with Applications from Healthcare, Engineering and Business Analytics / Christo El Morr ... [et al.]
Pubbl/distr/stampa Cham, : Springer, 2022
Descrizione fisica xvii, 465 p. : ill. ; 24 cm
Soggetto topico 90-XX - Operations research, mathematical programming [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020]
92-XX - Biology and other natural sciences [MSC 2020]
Soggetto non controllato Business Analytics
Decision making
Engineering
Healthcare
Machine learning
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN00277817
Cham, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui
Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications / Pankaj Srivastava ... [et al.] editors
Mathematical and Computational Intelligence to Socio-scientific Analytics and Applications / Pankaj Srivastava ... [et al.] editors
Pubbl/distr/stampa Singapore, : Springer, 2022
Descrizione fisica xix, 338 p. : ill. ; 24 cm
Soggetto non controllato Business Analytics
Computational Intelligence
Data Analytics
Health care analytics
Intelligent Systems
Mathematical applications in engineering
Mathematical applications in physical sciences
Mathematical sciences and applications
Soft Computing
Tourism analytics
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNICAMPANIA-VAN0278464
Singapore, : Springer, 2022
Materiale a stampa
Lo trovi qui: Univ. Vanvitelli
Opac: Controlla la disponibilità qui