Data mining with SPSS modeler : theory, exercises and solutions / Tilo Wendler, Sören Gröttrup
| Data mining with SPSS modeler : theory, exercises and solutions / Tilo Wendler, Sören Gröttrup |
| Autore | Wendler, Tilo |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xv, 1274 p. : ill. ; 24 cm |
| Altri autori (Persone) | Gröttrup, Sören |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Classification models
Cluster analysis Cross-industry standard process for data mining Data Mining Data mining processes Factor analysis IBM SPSS Modeler Imbalanced Data Multivariate statistics Predictive analytics R and SPSS Modeler Regression models Resampling techniques Statistical Methods Statistical software |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0274692 |
Wendler, Tilo
|
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| Cham, : Springer, 2021 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Data mining with SPSS modeler : theory, exercises and solutions / Tilo Wendler, Sören Gröttrup
| Data mining with SPSS modeler : theory, exercises and solutions / Tilo Wendler, Sören Gröttrup |
| Autore | Wendler, Tilo |
| Edizione | [2. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xv, 1274 p. : ill. ; 24 cm |
| Altri autori (Persone) | Gröttrup, Sören |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62Hxx - Multivariate analysis [MSC 2020] 62Pxx - Applications of statistics [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T09 - Computational aspects of data analysis and big data [MSC 2020] |
| Soggetto non controllato |
Classification models
Cluster analysis Cross-industry standard process for data mining Data Mining Data mining processes Factor analysis IBM SPSS Modeler Imbalanced Data Multivariate statistics Predictive analytics R and SPSS Modeler Regression models Resampling techniques Statistical Methods Statistical software |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00274692 |
Wendler, Tilo
|
||
| Cham, : Springer, 2021 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Time series analysis and its applications : with R examples / Robert H. Shumway, David S. Stoffer
| Time series analysis and its applications : with R examples / Robert H. Shumway, David S. Stoffer |
| Autore | Shumway, Robert H. |
| Edizione | [4. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiii, 562 p. : ill. ; 24 cm |
| Altri autori (Persone) | Stoffer, David S. |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62-08 - Computational methods for problems pertaining to statistics [MSC 2020] |
| Soggetto non controllato |
ARIMA models
Categorical time series analysis Dynamic linear models GARCH models Long memory series Markov chain Monte Carlo integration method Multivariate spectral methods Nonlinear models R package Resampling techniques Spectral Analysis State-space analysis Stochastic volatility Wavelets integration method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0123779 |
Shumway, Robert H.
|
||
| Cham, : Springer, 2017 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Time series analysis and its applications : with R examples / Robert H. Shumway, David S. Stoffer
| Time series analysis and its applications : with R examples / Robert H. Shumway, David S. Stoffer |
| Autore | Shumway, Robert H. |
| Edizione | [4. ed] |
| Pubbl/distr/stampa | Cham, : Springer, 2017 |
| Descrizione fisica | xiii, 562 p. : ill. ; 24 cm |
| Altri autori (Persone) | Stoffer, David S. |
| Soggetto topico |
62-08 - Computational methods for problems pertaining to statistics [MSC 2020]
62-XX - Statistics [MSC 2020] 62M10 - Time series, auto-correlation, regression, etc. in statistics (GARCH) [MSC 2020] 62M20 - Inference from stochastic processes and prediction; filtering [MSC 2020] 62P12 - Applications of statistics to environmental and related topics [MSC 2020] |
| Soggetto non controllato |
ARIMA models
Categorical time series analysis Dynamic linear models GARCH models Long memory series Markov chain Monte Carlo methods Multivariate spectral methods Nonlinear models R package Resampling techniques Spectral Analysis State-space analysis Stochastic volatility Wavelets integration method |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00123779 |
Shumway, Robert H.
|
||
| Cham, : Springer, 2017 | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||