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.
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Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Extended Abstracts Summer 2015 : Strategic Behavior in Combinatorial Structures / Josep Díaz, Lefteris Kirousis, Maria Serna ; Quantitative Finance / Luis Ortiz-Gracia Editors |
Pubbl/distr/stampa | Cham, : Birkhäuser, 2017 |
Descrizione fisica | vi, 139 p. : ill. ; 24 cm |
Soggetto topico |
68W40 - Analysis of algorithms [MSC 2020]
60G07 - General theory of stochastic processes [MSC 2020] 37Nxx - Applications of dynamical systems [MSC 2020] 34E10 - Perturbations, asymptotics of solutions to ordinary differential equation [MSC 2020] 82B26 - Phase transitions (general) in equilibrium statistical mechanics [MSC 2020] 05C80 - Random graphs (graph-theoretic aspects) [MSC 2020] 52C45 - Combinatorial complexity of geometric structures [MSC 2020] 91B02 - Fundamental topics (basic mathematics, methodology; applicable to economics in general) [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 90B15 - Stochastic network models in operations research [MSC 2020] 65T60 - Numerical methods for wavelets [MSC 2020] 60E10 - Characteristic functions; other transforms [MSC 2020] 91G80 - Financial applications of other theories [MSC 2020] 91G60 - Numerical methods (including Monte Carlo methods) [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 90B60 - Marketing, advertising [MSC 2020] 91B15 - Welfare economics [MSC 2020] |
Soggetto non controllato |
Auctions
Combinatorics Lovatz local lemma Nash equilibria Ordinary differential equations Phase transitions Random graphs Stochastic processes |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0123763 |
Cham, : Birkhäuser, 2017 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Extended Abstracts Summer 2015 : Strategic Behavior in Combinatorial Structures / Josep Díaz, Lefteris Kirousis, Maria Serna ; Quantitative Finance / Luis Ortiz-Gracia Editors |
Edizione | [Cham : Birkhäuser, 2017] |
Pubbl/distr/stampa | vi, 139 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Soggetto topico |
68W40 - Analysis of algorithms [MSC 2020]
60G07 - General theory of stochastic processes [MSC 2020] 37Nxx - Applications of dynamical systems [MSC 2020] 34E10 - Perturbations, asymptotics of solutions to ordinary differential equation [MSC 2020] 82B26 - Phase transitions (general) in equilibrium statistical mechanics [MSC 2020] 05C80 - Random graphs (graph-theoretic aspects) [MSC 2020] 52C45 - Combinatorial complexity of geometric structures [MSC 2020] 91B02 - Fundamental topics (basic mathematics, methodology; applicable to economics in general) [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 90B15 - Stochastic network models in operations research [MSC 2020] 65T60 - Numerical methods for wavelets [MSC 2020] 60E10 - Characteristic functions; other transforms [MSC 2020] 91G80 - Financial applications of other theories [MSC 2020] 91G60 - Numerical methods (including Monte Carlo methods) [MSC 2020] 68W20 - Randomized algorithms [MSC 2020] 68Q32 - Computational learning theory [MSC 2020] 90B60 - Marketing, advertising [MSC 2020] 91B15 - Welfare economics [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0123763 |
vi, 139 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Python for Marketing Research and Analytics / Jason S. Schwarz, Chris Chapman, Elea McDonnell Feit |
Autore | Schwarz, Jason S. |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xi, 272 p. : ill. ; 24 cm |
Altri autori (Persone) |
Chapman, Chris
McDonnell Feit, Elea |
Soggetto topico |
68-XX - Computer science [MSC 2020]
62-XX - Statistics [MSC 2020] 90B60 - Marketing, advertising [MSC 2020] |
Soggetto non controllato |
Data science
Econometrics Machine learning Marketing research Python Statistics |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249677 |
Schwarz, Jason S.
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Cham, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Targeting Uplift : An Introduction to Net Scores / René Michel, Igor Schnakenburg, Tobias von Martens |
Autore | Michel, René |
Pubbl/distr/stampa | Cham, : Springer, 2019 |
Descrizione fisica | xxxii, 351 p. : ill. ; 24 cm |
Altri autori (Persone) |
Martens, Tobias von
Schnakenburg, Igor |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 91G70 - Statistical methods; risk measures [MSC 2020] 90B60 - Marketing, advertising [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Soggetto non controllato |
Applications of net scoring in markerting
Campaign management Enhanced scoring Gross scoring Incremental response Net scoring Personalized treatment learning Predictive modelling Scoring algorithm Software implementation of net scoring algorithms Uplift modelling |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0127179 |
Michel, René
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Cham, : Springer, 2019 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Targeting Uplift : An Introduction to Net Scores / René Michel, Igor Schnakenburg, Tobias von Martens |
Autore | Michel, René |
Edizione | [Cham : Springer, 2019] |
Pubbl/distr/stampa | xxxii, 351 p., : ill. ; 24 cm |
Descrizione fisica | Pubblicazione in formato elettronico |
Altri autori (Persone) |
Schnakenburg, Igor
Martens, Tobias von |
Soggetto topico |
62-XX - Statistics [MSC 2020]
62F03 - Parametric hypothesis testing [MSC 2020] 62P20 - Applications of statistics to economics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 91G70 - Statistical methods; risk measures [MSC 2020] 90B60 - Marketing, advertising [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-SUN0127179 |
Michel, René
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xxxii, 351 p., : ill. ; 24 cm | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Triple Double : Using Statistics to Settle NBA Debates / Arilova A. Randrianasolo |
Autore | Randrianasolo, Arilova A. |
Pubbl/distr/stampa | Cham, : Springer, 2021 |
Descrizione fisica | xiii, 72 p. : ill. ; 24 cm |
Soggetto topico |
68-XX - Computer science [MSC 2020]
68Txx - Artificial intelligence [MSC 2020] 62-XX - Statistics [MSC 2020] 90B60 - Marketing, advertising [MSC 2020] |
Soggetto non controllato |
Basketball analytics
Basketball statistics Business Analytics Data Analytics Data science NBA statistics Sport analytics Sport communication Sport marketing |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNICAMPANIA-VAN0275378 |
Randrianasolo, Arilova A.
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Cham, : Springer, 2021 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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