A Review on the Development of Big Data Analytics and Effective Data Visualization Techniques in the Context of Massive and Multidimensional Data
| Autor: | C. Srimathi, J. Jabanjalin Hilda, Bhulakshmi Bonthu |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Creative visualization
Visual analytics Multidisciplinary business.industry Computer science media_common.quotation_subject Big data 020207 software engineering 02 engineering and technology 01 natural sciences Data science Visualization Information visualization Data visualization Biological data visualization Interactive visual analysis Analytics 0103 physical sciences 0202 electrical engineering electronic engineering information engineering business 010303 astronomy & astrophysics media_common |
| Zdroj: | Indian Journal of Science and Technology. 9 |
| ISSN: | 0974-5645 0974-6846 |
| DOI: | 10.17485/ijst/2016/v9i27/88692 |
| Popis: | Objectives: Data visualization, the use of images to represent information, is now becoming properly appreciated due to the benefits it can bring to business. This paper focuses on the general background of data visualization and visualization techniques. Methods: Data visualization has the prospective to assist humans in analysing and comprehending large volumes of data, and to detect patterns, clusters and outliers that are not obvious using non-graphical forms of presentation. For this reason, data visualizations have an important role to play in a diverse range of applied problems, including data exploration and mining, Information retrieval and intelligence analysis. In real time various techniques have been used of which Geometric projection techniques, Iconographic display techniques, Pixel-oriented, Hierarchical techniques, Graph-based techniques are discussed. Findings: The major difficultly in big data visualization is to preserve any of the original dimensional information. The taxonomy detailed here show that the local and global structure of the data can be visualized in an interactive manner and has a massive advantage. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|