Cargando…

Movie Analytics A Hollywood Introduction to Big Data /

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 developmen...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Haughton, Dominique (Autor), McLaughlin, Mark-David (Autor), Mentzer, Kevin (Autor), Zhang, Changan (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cham : Springer International Publishing : Imprint: Springer, 2015.
Edición:1st ed. 2015.
Colección:SpringerBriefs in Statistics,
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-319-09426-7
003 DE-He213
005 20220113043216.0
007 cr nn 008mamaa
008 151005s2015 sz | s |||| 0|eng d
020 |a 9783319094267  |9 978-3-319-09426-7 
024 7 |a 10.1007/978-3-319-09426-7  |2 doi 
050 4 |a HA1-4737 
072 7 |a JHBC  |2 bicssc 
072 7 |a SOC027000  |2 bisacsh 
072 7 |a JHBC  |2 thema 
082 0 4 |a 300.727  |2 23 
100 1 |a Haughton, Dominique.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Movie Analytics  |h [electronic resource] :  |b A Hollywood Introduction to Big Data /  |c by Dominique Haughton, Mark-David McLaughlin, Kevin Mentzer, Changan Zhang. 
250 |a 1st ed. 2015. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2015. 
300 |a VIII, 64 p. 53 illus., 45 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Statistics,  |x 2191-5458 ;  |v 0 
505 0 |a What do we know about analyzing movie data: section on past literature.- What does "Big Data" mean; the data scientist point of view.- Visualization of very large networks: the co-starring social network.- Movie attendance and trends -- Oscar prediction and prediction markets -- Can we predict Oscars from Twitter and movie review data. 
520 |a 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. 
650 0 |a Social sciences-Statistical methods. 
650 0 |a Data mining. 
650 0 |a Computer graphics. 
650 1 4 |a Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 
650 2 4 |a Data Mining and Knowledge Discovery. 
650 2 4 |a Computer Graphics. 
700 1 |a McLaughlin, Mark-David.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Mentzer, Kevin.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Zhang, Changan.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783319094250 
776 0 8 |i Printed edition:  |z 9783319094274 
830 0 |a SpringerBriefs in Statistics,  |x 2191-5458 ;  |v 0 
856 4 0 |u https://doi.uam.elogim.com/10.1007/978-3-319-09426-7  |z Texto Completo 
912 |a ZDB-2-SMA 
912 |a ZDB-2-SXMS 
950 |a Mathematics and Statistics (SpringerNature-11649) 
950 |a Mathematics and Statistics (R0) (SpringerNature-43713)