9783319094250 - movie analytics: a hollywood introduction to big data di haughton, dominique (10 risultati)

Movie Analytics: A Hollywood Introduction to Big Data (SpringerBriefs in Statistics)
Haughton, Dominique; McLaughlin, Mark-David; Mentzer, Kevin; Zhang, Changan
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Da: Shakespeare Book House, Rockford, IL, U.S.A.Shakespeare Book House
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Movie Analytics: A Hollywood Introduction to Big Data (SpringerBriefs in Statistics)
Haughton, Dominique; McLaughlin, Mark-David; Mentzer, Kevin; Zhang, Changan
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Taschenbuch. Condizione: Neu. Movie Analytics | A Hollywood Introduction to Big Data | Dominique Haughton (u. a.) | Taschenbuch | SpringerBriefs in Statistics | viii | Englisch | 2015 | Springer | EAN 9783319094250 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartman…n[at]springer[dot]com | Anbieter: preigu.

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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 applic…ation, 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. 72 pp. Englisch.

Movie Analytics: A Hollywood Introduction to Big Data (SpringerBriefs in Statistics)
Haughton, Dominique; McLaughlin, Mark-David; Mentzer, Kevin; Zhang, Changan
- Brossura
- Print on Demand
Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Movie Analytics: A Hollywood Introduction to Big Data (SpringerBriefs in Statistics)
Haughton, Dominique; McLaughlin, Mark-David; Mentzer, Kevin; Zhang, Changan
- Brossura
- Print on Demand
Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Movies will never be the same after you learn how to analyzemovie data, includingkey data mining, text mining and social network analytics concepts. These techniques may then be used in endless other contexts. In the movie application,… this topicopens a livelydiscussion onthe current developments inbig datafrom 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 packagescovered in the book. These includeR, 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 dataandcreate a co-starring network from the IMDB database given memory constraints. The authorsalsoguide the reader through an analysis of movie attendance data via a realistic dataset from France.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 72 pp. Englisch.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.