Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Movie analytics : a Hollywood introduction to big data / Dominique Haughton ... [et al.]
| Movie analytics : a Hollywood introduction to big data / Dominique Haughton ... [et al.] |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | VIII, 64 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
91Fxx - Other social and behavioral sciences (mathematical treatment) [MSC 2020] 91Cxx - Social and behavioral sciences: general topics [MSC 2020] 62P25 - Applications of statistics to social sciences [MSC 2020] |
| Soggetto non controllato |
Base (IMDb)
Big Data Data Mining Internet Movie Data Movie Analytics Oscar prediction with data Python and Gephi Text Mining Text Mining with SAS |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0113258 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||
Movie analytics : a Hollywood introduction to big data / Dominique Haughton ... [et al.]
| Movie analytics : a Hollywood introduction to big data / Dominique Haughton ... [et al.] |
| Pubbl/distr/stampa | [Cham], : Springer, 2015 |
| Descrizione fisica | VIII, 64 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62P25 - Applications of statistics to social sciences [MSC 2020] 91Cxx - Social and behavioral sciences: general topics [MSC 2020] 91Fxx - Other social and behavioral sciences (mathematical treatment) [MSC 2020] |
| Soggetto non controllato |
Base (IMDb)
Big Data Data Mining Internet Movie Data Movie Analytics Oscar prediction with data Python and Gephi Text Mining Text Mining with SAS |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Movies will never be the same after you learn how to analyze movie data, including key data mining, text mining and social network analytics concepts. These techniques may then be used in endless other contexts. In the movie application, this topic opens a lively discussion on the current developments in big data from a data science perspective. This book is geared to applied researchers and practitioners and is meant to be practical. The reader will take a hands-on approach, running text mining and social network analyses with software packages covered in the book. These include R, SAS, Knime, Pajek and Gephi. The nitty-gritty of how to build datasets needed for the various analyses will be discussed as well. This includes how to extract suitable Twitter data and create a co-starring network from the IMDB database given memory constraints. The authors also guide the reader through an analysis of movie attendance data via a realistic dataset from France. |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00113258 |
| [Cham], : Springer, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
| ||