Data Visualization : Trends and Challenges Toward Multidisciplinary Perception / / edited by S. Margret Anouncia, Hardik A. Gohel, Subbiah Vairamuthu

• Pubblicazione: Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020
• Edizione: 1st ed. 2020.
• Descrizione fisica: 1 online resource (XII, 179 p. 142 illus., 126 illus. in color.)
• Disciplina: 005.7
• Soggetto topico: Big data; Data structures (Computer science); Computer security; Application software; Big Data; Data Structures; Systems and Data Security; Computer Appl. in Administrative Data Processing
• Persona (resp. second.): AnounciaS. Margret; GohelHardik A; VairamuthuSubbiah
• Nota di contenuto: 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. .
• Sommario/riassunto: 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.
• Titolo autorizzato: Data Visualization
• ISBN: 981-15-2282-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910410057203321
• Lo trovi qui: Univ. Federico II