Special Issue "Information Visualization for Massive Data"
A special issue of Informatics (ISSN 2227-9709).
Deadline for manuscript submissions: closed (31 August 2016)
Dr. Olga Kurasova
This Special Issue of the Informatics journal welcomes submissions on the topic of information visualization which is a highly relevant issue in various fields. Data in technologies and sciences are usually high-dimensional, where objects are described by some features. However, it is difficult to understand these data without additional approaches. A visual insight into the data assists in comprehending the information. Visual mining involves visualization and graphical presentation of information. Visualization aims to provide data in a visual form that would facilitate better understanding, providing insight to the information, and directly influencing further decision making. The advantage of visual analysis is that it is much easier to detect or extract some useful information from the graphical representation of data than from raw numbers. Moreover, a problem arises when massive data are visualized. One is confronted not only with time- and computer resource-consuming problems, but also with effective ways of creating a graphical representation of a huge amount of data. All of this requires intensive scientific research. We encourage authors to submit their original research articles, work in progress, surveys, reviews, and viewpoint articles in this field. This Special Issue welcomes applications, theories, models, and frameworks that are concerned with (but not limited to) the following topics related to information visualization:
- Dimensionality reduction based visualization
- Graphical representation of massive data
- Optimization of projection error
- Estimating quality of information visualization
- Big data visualization
- Techniques of information vizualization
- Development of software for information visualization
- Application of information vizualization in various fields
Prof. Dr. Olga Kurasova
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) is waived for well-prepared manuscripts submitted to this issue. Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- Information visualization
- Dimensionality reduction
- Projection error
- Quality of visualization
- Big data
- Massive data