Da: Shakespeare Book House, Rockford, IL, U.S.A.
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Da: Books Puddle, New York, NY, U.S.A.
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Aggiungi al carrelloPaperback. Condizione: Brand New. 64 pages. 9.06x5.83x0.24 inches. In Stock.
Lingua: Inglese
Editore: Springer International Publishing, 2015
ISBN 10: 3319094254 ISBN 13: 9783319094250
Da: moluna, Greven, Germania
EUR 48,37
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan, 2015
ISBN 10: 3319094254 ISBN 13: 9783319094250
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage 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.
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Aggiungi al carrelloTaschenbuch. 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]hartmann[at]springer[dot]com | Anbieter: preigu.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 46,22
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Aggiungi al carrelloCondizione: new. Questo è un articolo print on demand.
Lingua: Inglese
Editore: Springer International Publishing Okt 2015, 2015
ISBN 10: 3319094254 ISBN 13: 9783319094250
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. 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 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. 72 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
EUR 78,41
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Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 78,77
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Aggiungi al carrelloCondizione: New. PRINT ON DEMAND 100.
Lingua: Inglese
Editore: Springer, Palgrave Macmillan Okt 2015, 2015
ISBN 10: 3319094254 ISBN 13: 9783319094250
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 53,49
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. 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.