Movie Oscar Database Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Movie Oscar Database book. This book definitely worth reading, it is an incredibly well-written.
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.
Principles of Data Integration by AnHai Doan,Alon Halevy,Zachary Ives Pdf
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
Model and Data Engineering by Klaus-Dieter Schewe,Neeraj Kumar Singh Pdf
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.
Applied Statistical Learning by Matthias Schonlau Pdf
This textbook provides an accessible overview of statistical learning methods and techniques, and includes case studies using the statistical software Stata. After introductory material on statistical learning concepts and practical aspects, each further chapter is devoted to a statistical learning algorithm or a group of related techniques. In particular, the book presents logistic regression, regularized linear models such as the Lasso, nearest neighbors, the Naive Bayes classifier, classification trees, random forests, boosting, support vector machines, feature engineering, neural networks, and stacking. It also explains how to construct n-gram variables from text data. Examples, conceptual exercises and exercises using software are featured throughout, together with case studies in Stata, mostly from the social sciences; true to the book’s goal to facilitate the use of modern methods of data science in the field. Although mainly intended for upper undergraduate and graduate students in the social sciences, given its applied nature, the book will equally appeal to readers from other disciplines, including the health sciences, statistics, engineering and computer science.
Handbook of State Aid for Film by Paul Clemens Murschetz,Roland Teichmann,Matthias Karmasin Pdf
This book is an analysis of the specificities of public film funding on an international scale. It shows how public funding schemes add value to film-making and other audio-visual productions and provides a comprehensive analysis of today’s global challenges in the film industry such as industry change, digital transformation, and shifting audience tastes. Based on insights from fields such as cultural economics, media economics, media management and media governance studies, the authors illustrate how public spending shapes the financial fitness of national and international film industries. This highly informative book will help both scholars and practitioners in the film industry to understand the complexity of issues and the requirements necessary to preserve the social benefits of film as an important cultural good.
From Film Practice to Data Process by Sarah Atkinson Pdf
To what extent have digital innovations transformed the UK film industry? What new practices and processes are emerging within the contemporary UK filmmaking landscape? What impact is this having upon filmmaking professionals? The business of conventional feature filmmaking is like no other, in that it assembles a huge company of people from a range of disciplines on a temporary basis, all to engage in the collaborative endeavour of producing a unique, one-off piece of work. By focusing on the pivotal year of 2012, and by considering the input of every single contributor to the process, this book illuminates how this period of analogue to digital transition is impacting upon working practices, cultures, opportunities and structures in the industry, and examines the various causative forces behind their adoptions and resistances. With an in-depth case study of Sally Potter's 2012 film 'Ginger & Rosa', and drawing upon interviews with international film industry practitioners, 'From Film Practice to Data Process' is a groundbreaking examination of film production in its totality, in a moment of profound change.
Advances in Knowledge Discovery and Data Mining by Jinho Kim,Kyuseok Shim,Longbing Cao,Jae-Gil Lee,Xuemin Lin,Yang-Sae Moon Pdf
This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2017, held in Jeju, South Korea, in May 2017. The 129 full papers were carefully reviewed and selected from 458 submissions. They are organized in topical sections named: classification and deep learning; social network and graph mining; privacy-preserving mining and security/risk applications; spatio-temporal and sequential data mining; clustering and anomaly detection; recommender system; feature selection; text and opinion mining; clustering and matrix factorization; dynamic, stream data mining; novel models and algorithms; behavioral data mining; graph clustering and community detection; dimensionality reduction.
Movie Analytics by Dominique Haughton,Mark-David McLaughlin,Kevin Mentzer,Changan Zhang Pdf
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.
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.
The Negro Motorist Green Book by Victor H. Green Pdf
The Negro Motorist Green Book was a groundbreaking guide that provided African American travelers with crucial information on safe places to stay, eat, and visit during the era of segregation in the United States. This essential resource, originally published from 1936 to 1966, offered a lifeline to black motorists navigating a deeply divided nation, helping them avoid the dangers and indignities of racism on the road. More than just a travel guide, The Negro Motorist Green Book stands as a powerful symbol of resilience and resistance in the face of oppression, offering a poignant glimpse into the challenges and triumphs of the African American experience in the 20th century.
Oscar Buzz and the Influence of Word of Mouth on Movie Success by Owen Eagan Pdf
This book explores why word of mouth is the most important determinant of a movie’s success. Beginning with a discussion of the enduring appeal of movies, and why the box office has survived the disruption of television and will likely survive the disruption of streaming services, Owen Eagan goes on to discuss the unpredictable nature of movies and ways to mitigate their risk. His astute analysis sheds light on the role of film festivals, film critics, Oscar campaigns, and word of mouth in influencing a film's success. Eagan concludes with a summary of why word of mouth is the most influential among all the variables that affect a film’s outcome. Expertly synthesizing quantitative analyses of box office data with illuminating insights from industry experts, this concise and engaging book presents findings with important implications for scholars, industry insiders and marketing professionals alike.
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.
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.
Predicting Movie Success at the Box Office by Barrie Gunter Pdf
This book explores the different factors that can influence a new movie’s prospects at the box office. Looking at factors such as the production budget, distribution model, genre, stars and audience reactions of films, Gunter asks how such aspects may reduce the uncertainties of success so common in the movie industry. The reader is taken on a journey through filmmaking factors that, research suggests, impact box office performance. While box office revenues represent only part of a movie’s earning potential, Gunter highlights how theatrical performances remain central to what the movie business is about. The chapters illustrate how ticket sales are largely influenced by the production budget but also cultural differences and new movie platforms.
Passionate Love and Popular Cinema by Erica Todd Pdf
This book analyses the romantic drama and the way that passionate love is presented as the central storyline in popular cinema, drawing upon genre studies and sociology. Exploring the passionate love story as a cinematic form, it also contributes, through comparison, to research on the romantic comedy.
