Isbn: 9781032476162 - analytics and knowledge management (13 risultati)

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    • Lingua: Inglese

      Editore: Auerbach Publications, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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    • Lingua: Inglese

      Editore: Taylor & Francis Ltd, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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    • Lingua: Inglese

      Editore: Auerbach Publications, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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    • Lingua: Inglese

      Editore: Auerbach Publications, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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    • Lingua: Inglese

      Editore: Auerbach Publications, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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      Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK

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    • Lingua: Inglese

      Editore: Auerbach Publications, 2023

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      Serie: Libro 11 di 26 - Data Analytics Applications

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    • Lingua: Inglese

      Editore: Auerbach Publications, 2023

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      Condizione: New. 1st edition NO-PA16APR2015-KAP.

    • Lingua: Inglese

      Editore: Auerbach Publications, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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    • Lingua: Inglese

      Editore: Auerbach Pub, 2023

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      Serie: Libro 11 di 26 - Data Analytics Applications

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      Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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      Paperback. Condizione: Brand New. 466 pages. 9.19x6.13x0.83 inches. In Stock.

    • Lingua: Inglese

      Editore: CRC Press, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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      Da: moluna, Greven, Germaniamoluna

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      Condizione: New. Suliman Hawamdeh is a professor and department chair of the Department of Information Science in the College of Information at the University of North Texas. He is the director of the Information Science PhD program, one of the largest interdisciplinary .

    • Lingua: Inglese

      Editore: Taylor & Francis, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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      Da: preigu, Osnabrück, Germaniapreigu

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      Taschenbuch. Condizione: Neu. Analytics and Knowledge Management | Suliman Hawamdeh (u. a.) | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2023 | Taylor & Francis | EAN 9781032476162 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Taylor & Francis, Auerbach Publications, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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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 -The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations.The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics.Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms. 466 pp. Englisch.

    • Lingua: Inglese

      Editore: Taylor & Francis, Auerbach Publications, 2023

      1032476168 / 9781032476162

      Serie: Libro 11 di 26 - Data Analytics Applications

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      • Print on Demand

      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      EUR 90,64

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      Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics technique. Analytics and Knowledge Management examines the role of analytics in knowledge management and the integration of big data theories, methods, and techniques into an organizational knowledge management framework. Its chapters written by researchers and professionals provide insight into theories, models, techniques, and applications with case studies examining the use of analytics in organizations.The process of transforming data into actionable knowledge is a complex process that requires the use of powerful machines and advanced analytics techniques. Analytics, on the other hand, is the examination, interpretation, and discovery of meaningful patterns, trends, and knowledge from data and textual information. It provides the basis for knowledge discovery and completes the cycle in which knowledge management and knowledge utilization happen. Organizations should develop knowledge focuses on data quality, application domain, selecting analytics techniques, and on how to take actions based on patterns and insights derived from analytics. Case studies in the book explore how to perform analytics on social networking and user-based data to develop knowledge. One case explores analyze data from Twitter feeds. Another examines the analysis of data obtained through user feedback. One chapter introduces the definitions and processes of social media analytics from different perspectives as well as focuses on techniques and tools used for social media analytics.Data visualization has a critical role in the advancement of modern data analytics, particularly in the field of business intelligence and analytics. It can guide managers in understanding market trends and customer purchasing patterns over time. The book illustrates various data visualization tools that can support answering different types of business questions to improve profits and customer relationships. This insightful reference concludes with a chapter on the critical issue of cybersecurity. It examines the process of collecting and organizing data as well as reviewing various tools for text analysis and data analytics and discusses dealing with collections of large datasets and a great deal of diverse data types from legacy system to social networks platforms.