9783659463549 - interactive data mining results visualization on mobile devices: interactive data mining results visualizations techniques & framework for mobile devices di khan, muzammil (9 risultati)
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 100 pages. 8.66x5.91x0.23 inches. In Stock.
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Da: preigu, Osnabrück, Germaniapreigu
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Taschenbuch. Condizione: Neu. Interactive Data Mining Results Visualization on Mobile Devices | Interactive Data Mining Results Visualizations Techniques & Framework for Mobile Devices | Muzammil Khan | Taschenbuch | 100 S. | Englisch | 2013 | LAP LAMBERT Academic Publishing | EAN 9783659463549 | Verantwortliche Person für die E…U: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, we propose a framework that addresses the issues related to the incorporation of emerging technologies like mobile devices and data mining. The framework provides the ways to visualize the data mining results that con…sider mobile device resource limitations, visualization challenges that are being confronted. The study contains potential application scenarios, comprehensive architecture model, features and objectives of the proposed framework for mobile devices like smartphones and tablets. Further introduces six interactive usable visualization techniques for data mining results, to convey the insight of the data effectively. The future work, propose that the study can be extended in different dimensions. 100 pp. Englisch.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Khan MuzammilMuzammil Khan Received BS Computer Science Degree (Gold Medalist) Session 2005-09 at University of Malakand and MPhil Computer Science Session 2010-12 from Quaid-i-Azam University Islamaba…d Pakistan. Research interests a.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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Condizione: New. PRINT ON DEMAND.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 54,90
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, we propose a framework that addresses the issues related to the incorporation of emerging technologies like mobile devices and data mining. The framework provides the ways to visualize the data mining results that conside…r mobile device resource limitations, visualization challenges that are being confronted. The study contains potential application scenarios, comprehensive architecture model, features and objectives of the proposed framework for mobile devices like smartphones and tablets. Further introduces six interactive usable visualization techniques for data mining results, to convey the insight of the data effectively. The future work, propose that the study can be extended in different dimensions.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 100 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, we propose a framework that addresses the issues related to the incorporation of emerging technologies like mobile devices and data mining. The framework provides the ways to visualize the data mining results that consider… mobile device resource limitations, visualization challenges that are being confronted. The study contains potential application scenarios, comprehensive architecture model, features and objectives of the proposed framework for mobile devices like smartphones and tablets. Further introduces six interactive usable visualization techniques for data mining results, to convey the insight of the data effectively. The future work, propose that the study can be extended in different dimensions.
