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Record Nr. |
UNINA9910410057203321 |
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Titolo |
Data Visualization : Trends and Challenges Toward Multidisciplinary Perception / / edited by S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu |
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Pubbl/distr/stampa |
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Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
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ISBN |
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Edizione |
[1st ed. 2020.] |
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Descrizione fisica |
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1 online resource (XII, 179 p. 142 illus., 126 illus. in color.) |
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Disciplina |
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Soggetti |
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Big data |
Data structures (Computer science) |
Computer security |
Application software |
Big Data |
Data Structures |
Systems and Data Security |
Computer Appl. in Administrative Data Processing |
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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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Nota di contenuto |
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Narrative and Text Visualization: A Technique to Enhance Teaching Learning Process in Higher Education -- Data visualization and analysis for Internet of Things using IBM Watson IoT Platform.-Comparative Analysis of Tools for Big Data Visualization and Challenges.-Data Visualization Techniques: Traditional Data to Big Data -- Data Visualization: Visualization of Social Media Marketing Analysis Data to Generate Effective Business Revenue Model. . |
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Sommario/riassunto |
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This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates. |
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