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1. |
Record Nr. |
UNINA9910459469903321 |
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Autore |
McCaw Neil |
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Titolo |
Adapting detective fiction [[electronic resource] ] : crime, Englishness and the TV detectives / / Neil McCaw |
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Pubbl/distr/stampa |
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London ; ; New York, : Continuum, 2011 |
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ISBN |
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1-282-91261-5 |
9786612912610 |
1-4411-5662-3 |
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Descrizione fisica |
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1 online resource (209 p.) |
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Collana |
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Continuum literary studies |
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Disciplina |
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Soggetti |
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Detective and mystery stories, English |
Electronic books. |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Contents; Acknowledgements; Chapter 1: Introduction - Adaptation and Cultural History; Chapter 2: Sherlock Holmes and the Authenticity of Crime; Chapter 3: Miss Marple, Criminality and Englishness; Chapter 4: Morse, Heritage and the End of History; Chapter 5: Jack Frost and the Condition of England Question; Chapter 6: Cadfael, Medievalism and Modern Nationhood; Chapter 7: DCI Barnaby and an English Aesthetics of Crime; Chapter 8: Conclusion - Detecting the Nation; Notes; Bibliography; Index |
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Sommario/riassunto |
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Adapting Detective Fiction is a study of specific instances of adaptation, with close readings of both the originating sources and adapted texts. But it is also more than this. It is a study of the politics of representation in the last decades of the twentieth century, and the role television detective fiction plays in this. It is about the mutually-informing interrelation of cultural texts and political rhetoric, about the connection between the popular-cultural depiction of crime and criminality and how we come to understand human behaviour and culpability; most of all, it is a detailed con |
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2. |
Record Nr. |
UNINA9910299841103321 |
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Autore |
Duan Qing |
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Titolo |
Data-Driven Optimization and Knowledge Discovery for an Enterprise Information System / / by Qing Duan, Krishnendu Chakrabarty, Jun Zeng |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (165 p.) |
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Disciplina |
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025.04 |
620 |
621.3815 |
621.382 |
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Soggetti |
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Electrical engineering |
Electronic circuits |
Information storage and retrieval |
Communications Engineering, Networks |
Circuits and Systems |
Information Storage and Retrieval |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Introduction -- Production Simulation Platform -- Production Workflow Optimizations -- Predictions of Process-Execution Time and Process-Execution Status -- Optimization of Order-Admission Policies -- Conclusion. |
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Sommario/riassunto |
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This book provides a comprehensive set of optimization and prediction techniques for an enterprise information system. Readers with a background in operations research, system engineering, statistics, or data analytics can use this book as a reference to derive insight from data and use this knowledge as guidance for production management. The authors identify the key challenges in enterprise information management and present results that have emerged from leading-edge research in this domain. Coverage includes topics ranging from task scheduling and resource allocation, to workflow optimization, process |
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time and status prediction, order admission policies optimization, and enterprise service-level performance analysis and prediction. With its emphasis on the above topics, this book provides an in-depth look at enterprise information management solutions that are needed for greater automation and reconfigurability-based fault tolerance, as well as to obtain data-driven recommendations for effective decision-making. |
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3. |
Record Nr. |
UNINA9910298488203321 |
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Titolo |
Proceedings of the 1987 Academy of Marketing Science (AMS) Annual Conference / / edited by Jon M. Hawes, George B. Glisan |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (562 p.) |
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Collana |
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Developments in Marketing Science: Proceedings of the Academy of Marketing Science, , 2363-6173 |
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Disciplina |
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330 |
658.4092 |
658.8 |
658.81 |
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Soggetti |
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Marketing |
Strategic planning |
Leadership |
Sales management |
Business Strategy and Leadership |
Sales and Distribution |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Foreword -- Preface -- Consumer Behavior -- International Marketing -- Marketing Education -- Marketing Management -- Sales Force Management—Industrial Marketing -- Marketing of Services -- |
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Research Methodology -- Research in Progress. |
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Sommario/riassunto |
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This volume includes the full proceedings from the 1987 Academy of Marketing Science (AMS) Annual Conference held in Bal Harbour, Florida. It provides a variety of quality research in the fields of marketing theory and practice in areas such as consumer behaviour, marketing management, marketing education, and international marketing, among others. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complimenting the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science. |
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