9786139975747 - pattern mining in spatio-temporal databases de gurram, sunitha (8 resultados)
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Taschenbuch. Condición: Neu. Pattern Mining in Spatio-Temporal Databases | Sunitha Gurram | Taschenbuch | 192 S. | Englisch | 2018 | LAP LAMBERT Academic Publishing | EAN 9786139975747 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
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Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The adeptness and adaptability of the knowledge discovery process to analyze a variety of application areas has suggested a rich area with abounding ambit for research and all of this has started when geospatial databases have challenged us… with their enormity and complexity. The geospatial databases holds key for us to understand the geographic phenomena. Spatio-temporal data arises due to the enormous establishment of tracking and measuring devices. These devices collect data continuously at unprecedented speed forming big databases. Hence, focus of the research today is on developing techniques to efficiently handle the voluminous spatio-temporal data. This book introduces the challenges, applications and the current research trends in spatio-temporal data mining.
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The adeptness and adaptability of the knowledge discovery process to analyze a variety of application areas has suggested a rich area with abounding ambit for research and all of this has started when geospatial databases have chall…enged us with their enormity and complexity. The geospatial databases holds key for us to understand the geographic phenomena. Spatio-temporal data arises due to the enormous establishment of tracking and measuring devices. These devices collect data continuously at unprecedented speed forming big databases. Hence, focus of the research today is on developing techniques to efficiently handle the voluminous spatio-temporal data. This book introduces the challenges, applications and the current research trends in spatio-temporal data mining. 192 pp. Englisch.
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Gurram SunithaDr. Gurram Sunitha is a professor of Computer Science and Engineering Department at Sree Vidyanikethan Engineering College, Tirupati, India. She has 18 years of experience in academia. Her… research interests include Dat.
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The adeptness and adaptability of the knowledge discovery process to analyze a variety of application areas has suggested a rich area with abounding ambit for research and all of this has started when geospatial databases have challenge…d us with their enormity and complexity. The geospatial databases holds key for us to understand the geographic phenomena. Spatio-temporal data arises due to the enormous establishment of tracking and measuring devices. These devices collect data continuously at unprecedented speed forming big databases. Hence, focus of the research today is on developing techniques to efficiently handle the voluminous spatio-temporal data. This book introduces the challenges, applications and the current research trends in spatio-temporal data mining.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 192 pp. Englisch.
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The adeptness and adaptability of the knowledge discovery process to analyze a variety of application areas has suggested a rich area with abounding ambit for research and all of this has started when geospatial databases have challenged… us with their enormity and complexity. The geospatial databases holds key for us to understand the geographic phenomena. Spatio-temporal data arises due to the enormous establishment of tracking and measuring devices. These devices collect data continuously at unprecedented speed forming big databases. Hence, focus of the research today is on developing techniques to efficiently handle the voluminous spatio-temporal data. This book introduces the challenges, applications and the current research trends in spatio-temporal data mining.
