Data Mining Visualization with the Impact of Nature Inspired Algorithms in Big Data
Title | Data Mining Visualization with the Impact of Nature Inspired Algorithms in Big Data |
Publication Type | Conference Paper |
Year of Publication | 2020 |
Authors | Kotturu, P. K., Kumar, A. |
Conference Name | 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) |
Date Published | June 2020 |
Publisher | IEEE |
ISBN Number | 978-1-7281-5518-0 |
Keywords | Big Data, big data security in the cloud, cloud, cloud computing, Cloud computing and Computation capability, Computational modeling, data mining, Data visualization, Market research, pubcrawl, security |
Abstract | Data mining visualization is an important aspect of big data visualization and analysis. The impact of the nature-inspired algorithm along with the impact of computing traditions for the complete visualization of the storage and data communication needs have been studied. This paper also explores the possibilities of the hybridization of data mining in terms of association of cloud computing. It also explores the data analytical view in the exploration of these approaches in terms of data storage in big data. Based on these aspects the methodological advancement along with the problem statements has been analyzed. This will help in the exploration of computational capability along with the new insights in this domain. |
URL | https://ieeexplore.ieee.org/document/9142979 |
DOI | 10.1109/ICOEI48184.2020.9142979 |
Citation Key | kotturu_data_2020 |