Movie Oscar Database
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Movie Oscar Database
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Author : Joseph Lanzara
language : en
Publisher:
Release Date : 2020-11-02
Movie Oscar Database written by Joseph Lanzara and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with categories.
MOVIE OSCAR DATABASE lists every movie that won or was nominated for Best Picture by the Academy of Motion Picture Arts and Sciences, since the first Academy Awards presentation in 1929. Both alphabetical and chronological listings provide easy search and cross-search. This is a hard copy printout of the digital database.
Actor Oscar Database
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Author : Joseph Lanzara
language : en
Publisher:
Release Date : 2020
Actor Oscar Database written by Joseph Lanzara and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with categories.
ACTOR OSCAR DATABASE contains every Oscar winner and nominee, for actors and actresses, leading roles and supporting, with the year and film they were nominated for, in both alphabetical and chronological order-- with easy search and cross-search. This is a hard copy printout of the digital database.
Database
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Author :
language : en
Publisher:
Release Date : 1996
Database written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Information services categories.
Movie Analytics
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Author : Dominique Haughton
language : en
Publisher: Springer
Release Date : 2015-10-05
Movie Analytics written by Dominique Haughton and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-05 with Social Science categories.
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.
Film
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Author : Susan Stempleski
language : en
Publisher: Oxford University Press
Release Date : 2001-11
Film written by Susan Stempleski and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-11 with Foreign Language Study categories.
Includes ideas on how to integrate film into a general course and how to set up film projects. Contains a glossary of helpful terms. No previous film knowledge is required.
Principles Of Data Integration
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Author : AnHai Doan
language : en
Publisher: Elsevier
Release Date : 2012-06-25
Principles Of Data Integration written by AnHai Doan and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-06-25 with Computers categories.
Principles of Data Integration is the first comprehensive textbook of data integration, covering theoretical principles and implementation issues as well as current challenges raised by the semantic web and cloud computing. The book offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand. Readers will also learn how to build their own algorithms and implement their own data integration application. Written by three of the most respected experts in the field, this book provides an extensive introduction to the theory and concepts underlying today's data integration techniques, with detailed, instruction for their application using concrete examples throughout to explain the concepts. This text is an ideal resource for database practitioners in industry, including data warehouse engineers, database system designers, data architects/enterprise architects, database researchers, statisticians, and data analysts; students in data analytics and knowledge discovery; and other data professionals working at the R&D and implementation levels. Offers a range of data integration solutions enabling you to focus on what is most relevant to the problem at hand Enables you to build your own algorithms and implement your own data integration applications
Xml Data Warehousing
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Author : Nuwee Wiwatwattana
language : en
Publisher: VDM Publishing
Release Date : 2008
Xml Data Warehousing written by Nuwee Wiwatwattana and has been published by VDM Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.
Data warehousing is an important application of database technology. Even though XML is ubiquitous and there are many XML databases, there are almost no XML data warehouses today. When the information to be represented naturally has multiple dimensions, as in data warehouses, fundamental tensions appear in the modeling and schema design. This book propose an evolutionary extension of the XML data model into a multi-dimensional model, called the Multi-Colored Trees (MCT) logical data model. MCT permits trees with multi-colored nodes to signify participation in multiple dimensions. Algorithms are developed to transform design specifications given as ER diagrams into MCT schemas. Bitmap join indices are extended to the XML context. This book demonstrates experimentally the benefit for typical queries, including those with low cardinality or high selectivity. The book also considers the data cube, and shows that it cannot readily be expressed or evaluated for XML data. Specifically, XML data is not always summarizable because of missing and repeated sub-elements.
Model And Data Engineering
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Author : Klaus-Dieter Schewe
language : en
Publisher: Springer Nature
Release Date : 2019-10-21
Model And Data Engineering written by Klaus-Dieter Schewe and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-10-21 with Computers categories.
This book constitutes the refereed proceedings of the 9th International Conference on Model and Data Engineering, MEDI 2019, held in Toulouse, France, in October 2019. The 11 full papers and 7 short papers presented in this book were carefully reviewed and selected from 41 submissions. The papers cover broad research areas on both theoretical, systems and practical aspects. Some papers include mining complex databases, concurrent systems, machine learning, swarm optimization, query processing, semantic web, graph databases, formal methods, model-driven engineering, blockchain, cyber physical systems, IoT applications, and smart systems.
Oscar S Favorite Actors
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Author : Roger Leslie
language : en
Publisher: McFarland
Release Date : 2017-06-30
Oscar S Favorite Actors written by Roger Leslie and has been published by McFarland this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-30 with Performing Arts categories.
Just as the Academy Awards have an impact upon stars and their careers, their filmic achievements influence the Academy and contribute to the rich history of the Oscars. Upset wins, jarring losses and glaring oversights have helped define the careers of Hollywood icons, while unknown actors have proven that timing sometimes beats notoriety or even talent. With detailed discussion of their performances and Awards night results, this book describes how 108 actors earned the Academy’s favor—and how 129 others were overlooked.
Humanizing Big Data
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Author : Colin Strong
language : en
Publisher: Kogan Page Publishers
Release Date : 2015-03-03
Humanizing Big Data written by Colin Strong and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-03-03 with Business & Economics categories.
Big data raises more questions than it answers, particularly for those organizations struggling to deal with what has become an overwhelming deluge of data. It can offer marketers more than simple tactical predictive analytics, but organizations need a bigger picture, one that generates some real insight into human behaviour, to drive consumer strategy rather than just better targeting techniques. Humanizing Big Data guides marketing managers, brand managers, strategists and senior executives on how to use big data strategically to redefine customer relationships for better customer engagement and an improved bottom line. Humanizing Big Data provides a detailed understanding of the way to approach and think about the challenges and opportunities of big data, enabling any brand to realize the value of their current and future data assets. First it explores the 'nuts and bolts' of data analytics and the way in which the current big data agenda is in danger of losing credibility by paying insufficient attention to what are often fundamental tenets in any form of analysis. Next it sets out a manifesto for a smart data approach, drawing on an intelligent and big picture view of data analytics that addresses the strategic business challenges that businesses face. Finally it explores the way in which datafication is changing the nature of the relationship between brands and consumers and why this calls for new forms of analytics to support rapidly emerging new business models. After reading this book, any brand should be in a position to make a step change in the value they derive from their data assets.