Journal ArticleDOI
Information visualization and visual data mining
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TLDR
This paper proposes a classification of information visualization and visual data mining techniques which is based on the data type to be visualized, the visualization technique, and the interaction and distortion technique.Abstract:
Never before in history has data been generated at such high volumes as it is today. Exploring and analyzing the vast volumes of data is becoming increasingly difficult. Information visualization and visual data mining can help to deal with the flood of information. The advantage of visual data exploration is that the user is directly involved in the data mining process. There are a large number of information visualization techniques which have been developed over the last decade to support the exploration of large data sets. In this paper, we propose a classification of information visualization and visual data mining techniques which is based on the data type to be visualized, the visualization technique, and the interaction and distortion technique. We exemplify the classification using a few examples, most of them referring to techniques and systems presented in this special section.read more
Citations
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The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
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TL;DR: Providing an in-depth examination of core text mining and link detection algorithms and operations, this text examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches.
Journal ArticleDOI
Toward a Deeper Understanding of the Role of Interaction in Information Visualization
TL;DR: Seven general categories of interaction techniques widely used in Infovis are proposed, organized around a user's intent while interacting with a system rather than the low-level interaction techniques provided by a system.
Journal ArticleDOI
Big data
Ibrar Yaqoob,Ibrahim Abaker Targio Hashem,Abdullah Gani,Salimah Binti Mokhtar,Ejaz Ahmed,Nor Badrul Anuar,Athanasios V. Vasilakos +6 more
TL;DR: This paper presents a comprehensive discussion on state-of-the-art big data technologies based on batch and stream data processing based on structuralism and functionalism paradigms and strengths and weaknesses of these technologies are analyzed.
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A Multi-Level Typology of Abstract Visualization Tasks
Matthew Brehmer,Tamara Munzner +1 more
TL;DR: A multi-level typology of visualization tasks is contributed to address the gap between why and how a visualization task is performed, as well as what the task inputs and outputs are.
References
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Proceedings ArticleDOI
The eyes have it: a task by data type taxonomy for information visualizations
TL;DR: A task by data type taxonomy with seven data types and seven tasks (overview, zoom, filter, details-on-demand, relate, history, and extracts) is offered.
Book
Information Visualization: Perception for Design
TL;DR: The art and science of why the authors see objects the way they do are explored, and the author presents the key principles at work for a wide range of applications--resulting in visualization of improved clarity, utility, and persuasiveness.
Book
Readings in Information Visualization: Using Vision to Think
TL;DR: In this paper, the authors present a method for using vision to think in higher-level visualisation, focusing on space, interaction, focus + context, text, and context.
Journal ArticleDOI
Generalized fisheye views
TL;DR: This paper explores fisheye views presenting, in turn, naturalistic studies, a general formalism, a specific instantiation, a resulting computer program, example displays and an evaluation.
Book
Visualizing Data
TL;DR: Using a downloadable programming environment developed by the author, Visualizing Data demonstrates methods for representing data accurately on the Web and elsewhere, complete with user interaction, animation, and more.