Scalable Interactive Visualization
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 retrie...
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| Médium: | E-kniha |
| Jazyk: | English |
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MDPI - Multidisciplinary Digital Publishing Institute
2018
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| ISBN: | 9783038428046, 3038428043, 9783038428039, 3038428035 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Gunther H. Weber (Ed.) Achim Ebert (Ed.) |
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| Snippet | Data available in today’s information society is ever growing in size and complexity—i.e., unstructured, multidimensional, uncertain, etc.—making it impossible... |
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| SubjectTerms | Book Industry Communication Challenges for scalable interactive visualization Collaborative visualization Computer science Computing & information technology Feature detection Handling and visualization of Big Data High-Performance Computing (HPC) Interactive visualization Interactive visualization systems QA75.5-76.95 Scalability Visual analysis Web-based visualization |
| Title | Scalable Interactive Visualization |
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