Scalable Interactive Visualization / / edited by Achim Ebert and Gunther H. Weber

• Pubblicazione: Basel, Switzerland : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2018
• Descrizione fisica: 1 online resource (244 pages) : illustrations
• Disciplina: 001.4226
• Soggetto topico: Information visualization
• Persona (resp. second.): EbertAchim; WeberGunther H.
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: Sathish Kottravel Riccardo Volpi Mathieu Linares Timo Ropinski and Ingrid Hotz 32 -- Mark Taylor 52 -- Sizhe Wang Wenwen Li and Feng Wang 70 -- Boris Kovalerchuk and Dmytro Dovhalets 87 -- Bjorn Zimmer Magnus Sahlgren and Andreas Kerren 114 -- Steffen Frey 134 -- Han Kruiger Almoctar HassoumiHansJrg Schulz Alex Telea Christophe Hurter 154 -- Jun Wang Alla Zelenyuk Dan Imre and Klaus Mueller 175 -- Jin Aristotelis Leventidis Haoming Shen Ruowang Zhang Junyue Wu 190 -- Joris Sansen Gaelle Richer Timothe Jourde Frederic Lalanne David Auber 213 -- Copyright.
• Sommario/riassunto: Data available in today's information society is ever growing in size and complexity--i.e., unstructured, multidimensional, uncertain, etc.--making it impossible to survey and understand this data. Traditionally, most of these datasets are stored and depicted as huge tables, hindering efficient retrieval of salient information--similarities, outliers, structures, origin, etc. Interactive visualization provides an interface to this data that can help gleaning valuable information from it, thus supporting better data understanding by significantly reducing cognitive load on the analyst. Two fundamental concepts, visualization and interaction, form the basis of the underlying scientific methods. Combining these concepts connects two key research areas in computer science: visualization and human-computer interaction (HCI) and brings together practitioners from many disciplines. The result is highly multi-disciplinary work with significant impact and virtually unlimited application areas. However, truly interactive visualizations are hard to design and implement, so researchers have to solve multiple problems. This Special Issue provides an overciew over the current state-of-the-art of "Interactive Visualization." It shows recent work in the field, as well as trends for future development.
• Titolo autorizzato: Scalable Interactive Visualization
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910674018603321
• Lo trovi qui: Univ. Federico II