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Predicting Movie Success at the Box Office

Author: Barrie Gunter

Publisher: Springer

Published: 2018-02-20

Total Pages: 270

ISBN-13: 3319718037

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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.

Book Synopsis Predicting Movie Success at the Box Office by : Barrie Gunter

Download or read book Predicting Movie Success at the Box Office written by Barrie Gunter and published by Springer. This book was released on 2018-02-20 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

2017 20th International Conference of Computer and Information Technology (ICCIT)

Author: IEEE Staff

Publisher:

Published: 2017-12-22

Total Pages:

ISBN-13: 9781538611517

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Algorithms Artificial intelligence Bioinformatics Bangla Language Processing Cloud Computing Computer Vision Computer Graphics and Multimedia Computer Based Education Computer Networks Cyber security Data Communications Database Systems Digital Signal and Image Processing Embedded System and Software E commerce and E governance Fuzzy Systems Gaming Geospatial Information Systems Grid and Scalable Computing Human Computer Interaction Intelligent Information Systems Internet and Web Applications IT Policy and Business Management Knowledge and Data Engineering Mobile and Ubiquitous Computing Modeling and Simulation Neural Networks Optical Fiber Communication Pattern Recognition Parallel and Distributed Systems Quantum Computing Robotics Reliability Engineering Software Engineering Security and Information Assurance Spatial Information Systems System Security and control VLSI ULSI Wireless Communication

Book Synopsis 2017 20th International Conference of Computer and Information Technology (ICCIT) by : IEEE Staff

Download or read book 2017 20th International Conference of Computer and Information Technology (ICCIT) written by IEEE Staff and published by . This book was released on 2017-12-22 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Algorithms Artificial intelligence Bioinformatics Bangla Language Processing Cloud Computing Computer Vision Computer Graphics and Multimedia Computer Based Education Computer Networks Cyber security Data Communications Database Systems Digital Signal and Image Processing Embedded System and Software E commerce and E governance Fuzzy Systems Gaming Geospatial Information Systems Grid and Scalable Computing Human Computer Interaction Intelligent Information Systems Internet and Web Applications IT Policy and Business Management Knowledge and Data Engineering Mobile and Ubiquitous Computing Modeling and Simulation Neural Networks Optical Fiber Communication Pattern Recognition Parallel and Distributed Systems Quantum Computing Robotics Reliability Engineering Software Engineering Security and Information Assurance Spatial Information Systems System Security and control VLSI ULSI Wireless Communication

2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC)

Author: IEEE Staff

Publisher:

Published: 2018-12-15

Total Pages:

ISBN-13: 9781538663745

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It includes Object oriented analysis, continuous process modelling and improvement, cost estimation and project planning and effectiveness of agile lean practices, Web Engineering, Quality Management, Managing Software Projects, Multimedia and Visual Software Engineering, Software Maintenance and Testing, Languages and Formal Methods, Web based Education Systems and Learning Applications, Software Engineering Decision Making This track focuses on Natural language processing, artificial intelligence, and computational linguistics with respect to the interactions between computers and human languages It includes Genetic Algorithms, Grammatical Evolution, Differential Evolution, Probabilistic Meta heuristic, Swarm Intelligence, Ant Colony Algorithms, Artificial Immune Systems, High Performance Computing and Computational Intelligence, Fuzzy Logic, Bayesian statistical methods, Neural Networks, Multi Agent Systems, Stochastic Optimization It also focuses on focuses on Cloud and its servi

Book Synopsis 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) by : IEEE Staff

Download or read book 2018 First International Conference on Secure Cyber Computing and Communication (ICSCCC) written by IEEE Staff and published by . This book was released on 2018-12-15 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: It includes Object oriented analysis, continuous process modelling and improvement, cost estimation and project planning and effectiveness of agile lean practices, Web Engineering, Quality Management, Managing Software Projects, Multimedia and Visual Software Engineering, Software Maintenance and Testing, Languages and Formal Methods, Web based Education Systems and Learning Applications, Software Engineering Decision Making This track focuses on Natural language processing, artificial intelligence, and computational linguistics with respect to the interactions between computers and human languages It includes Genetic Algorithms, Grammatical Evolution, Differential Evolution, Probabilistic Meta heuristic, Swarm Intelligence, Ant Colony Algorithms, Artificial Immune Systems, High Performance Computing and Computational Intelligence, Fuzzy Logic, Bayesian statistical methods, Neural Networks, Multi Agent Systems, Stochastic Optimization It also focuses on focuses on Cloud and its servi

Intelligent Computing and Applications

Author: Subhransu Sekhar Dash

Publisher: Springer Nature

Published: 2020-09-29

Total Pages: 781

ISBN-13: 9811555664

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This book presents the peer-reviewed proceedings of the 5th International Conference on Intelligent Computing and Applications (ICICA 2019), held in Ghaziabad, India, on December 6–8, 2019. The contributions reflect the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.

Book Synopsis Intelligent Computing and Applications by : Subhransu Sekhar Dash

Download or read book Intelligent Computing and Applications written by Subhransu Sekhar Dash and published by Springer Nature. This book was released on 2020-09-29 with total page 781 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the peer-reviewed proceedings of the 5th International Conference on Intelligent Computing and Applications (ICICA 2019), held in Ghaziabad, India, on December 6–8, 2019. The contributions reflect the latest research on advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their applications to decision-making and problem-solving in mobile and wireless communication networks.

Complex Networks and Their Applications VIII

Author: Hocine Cherifi

Publisher: Springer Nature

Published: 2019-11-26

Total Pages: 1047

ISBN-13: 3030366839

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This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

Book Synopsis Complex Networks and Their Applications VIII by : Hocine Cherifi

Download or read book Complex Networks and Their Applications VIII written by Hocine Cherifi and published by Springer Nature. This book was released on 2019-11-26 with total page 1047 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students, and practitioners a unique update on the latest advances in theory and a multitude of applications. It presents the peer-reviewed proceedings of the Eighth International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2019), which took place in Lisbon, Portugal, on December 10–12, 2019. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure, and network dynamics; diffusion, epidemics, and spreading processes; resilience and control as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

Machine Intelligence and Emerging Technologies

Author: Md. Shahriare Satu

Publisher: Springer Nature

Published: 2023-06-10

Total Pages: 819

ISBN-13: 303134622X

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The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.

Book Synopsis Machine Intelligence and Emerging Technologies by : Md. Shahriare Satu

Download or read book Machine Intelligence and Emerging Technologies written by Md. Shahriare Satu and published by Springer Nature. This book was released on 2023-06-10 with total page 819 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNICST 490 and 491 constitutes the proceedings of the First International Conference on Machine Intelligence and Emerging Technologies, MIET 2022, hosted by Noakhali Science and Technology University, Noakhali, Bangladesh, during September 23–25, 2022. The 104 papers presented in the proceedings were carefully reviewed and selected from 272 submissions. This book focuses on theoretical, practical, state-of-art applications, and research challenges in the field of artificial intelligence and emerging technologies. It will be helpful for active researchers and practitioners in this field. These papers are organized in the following topical sections: imaging for disease detection; pattern recognition and natural language processing; bio signals and recommendation systems for wellbeing; network, security and nanotechnology; and emerging technologies for society and industry.

Rough Sets and Knowledge Technology

Author: Duoqian Miao

Publisher: Springer

Published: 2014-09-25

Total Pages: 867

ISBN-13: 3319117408

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This book constitutes the thoroughly refereed conference proceedings of the 9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014, held in Shanghai, China, in October 2014. The 70 papers presented were carefully reviewed and selected from 162 submissions. The papers in this volume cover topics such as foundations and generalizations of rough sets, attribute reduction and feature selection, applications of rough sets, intelligent systems and applications, knowledge technology, domain-oriented data-driven data mining, uncertainty in granular computing, advances in granular computing, big data to wise decisions, rough set theory, and three-way decisions, uncertainty, and granular computing.

Book Synopsis Rough Sets and Knowledge Technology by : Duoqian Miao

Download or read book Rough Sets and Knowledge Technology written by Duoqian Miao and published by Springer. This book was released on 2014-09-25 with total page 867 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the 9th International Conference on Rough Sets and Knowledge Technology, RSKT 2014, held in Shanghai, China, in October 2014. The 70 papers presented were carefully reviewed and selected from 162 submissions. The papers in this volume cover topics such as foundations and generalizations of rough sets, attribute reduction and feature selection, applications of rough sets, intelligent systems and applications, knowledge technology, domain-oriented data-driven data mining, uncertainty in granular computing, advances in granular computing, big data to wise decisions, rough set theory, and three-way decisions, uncertainty, and granular computing.

Applications of Computational Science in Artificial Intelligence

Author: Nayyar, Anand

Publisher: IGI Global

Published: 2022-04-22

Total Pages: 284

ISBN-13: 1799890147

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Computational science, in collaboration with engineering, acts as a bridge between hypothesis and experimentation. It is essential to use computational methods and their applications in order to automate processes as many major industries rely on advanced modeling and simulation. Computational science is inherently interdisciplinary and can be used to identify and evaluate complicated systems, foresee their performance, and enhance procedures and strategies. Applications of Computational Science in Artificial Intelligence delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. It also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions. Covering a range of topics such as high-performance computing and software infrastructure, this reference work is ideal for software engineers, practitioners, researchers, scholars, academicians, instructors, and students.

Book Synopsis Applications of Computational Science in Artificial Intelligence by : Nayyar, Anand

Download or read book Applications of Computational Science in Artificial Intelligence written by Nayyar, Anand and published by IGI Global. This book was released on 2022-04-22 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational science, in collaboration with engineering, acts as a bridge between hypothesis and experimentation. It is essential to use computational methods and their applications in order to automate processes as many major industries rely on advanced modeling and simulation. Computational science is inherently interdisciplinary and can be used to identify and evaluate complicated systems, foresee their performance, and enhance procedures and strategies. Applications of Computational Science in Artificial Intelligence delivers technological solutions to improve smart technologies architecture, healthcare, and environmental sustainability. It also provides background on key aspects such as computational solutions, computation framework, smart prediction, and healthcare solutions. Covering a range of topics such as high-performance computing and software infrastructure, this reference work is ideal for software engineers, practitioners, researchers, scholars, academicians, instructors, and students.

Hollywood Economics

Author: Arthur S. De Vany

Publisher: Psychology Press

Published: 2004

Total Pages: 332

ISBN-13: 9780415312608

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Movies expected to perform well can flop, whilst independent movies with low budgets can be wildly successful. In this text, De Vany casts his eye over all aspects of the business to present some intriguing conclusions.

Book Synopsis Hollywood Economics by : Arthur S. De Vany

Download or read book Hollywood Economics written by Arthur S. De Vany and published by Psychology Press. This book was released on 2004 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt: Movies expected to perform well can flop, whilst independent movies with low budgets can be wildly successful. In this text, De Vany casts his eye over all aspects of the business to present some intriguing conclusions.

Ensemble Methods

Author: Zhi-Hua Zhou

Publisher: CRC Press

Published: 2012-06-06

Total Pages: 238

ISBN-13: 1439830037

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An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.

Book Synopsis Ensemble Methods by : Zhi-Hua Zhou

Download or read book Ensemble Methods written by Zhi-Hua Zhou and published by CRC Press. This book was released on 2012-06-06 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: An up-to-date, self-contained introduction to a state-of-the-art machine learning approach, Ensemble Methods: Foundations and Algorithms shows how these accurate methods are used in real-world tasks. It gives you the necessary groundwork to carry out further research in this evolving field. After presenting background and terminology, the book covers the main algorithms and theories, including Boosting, Bagging, Random Forest, averaging and voting schemes, the Stacking method, mixture of experts, and diversity measures. It also discusses multiclass extension, noise tolerance, error-ambiguity and bias-variance decompositions, and recent progress in information theoretic diversity. Moving on to more advanced topics, the author explains how to achieve better performance through ensemble pruning and how to generate better clustering results by combining multiple clusterings. In addition, he describes developments of ensemble methods in semi-supervised learning, active learning, cost-sensitive learning, class-imbalance learning, and comprehensibility enhancement.