Name
Abstract | ||
|---|---|---|
There are innumerable data generated on the internet every day, which is hardly effectively analysed by traditional means because of its capacities and complexities. This data is not only huge but also has complex relationships between different kinds of datasets. In addition, if people want to know more information of the changes of data during the certain periods of time that means time factor will be taken into consideration, which leads to the problem of analysing dynamic data. This kind of data is called big data. Under the circumstances of big data era, a new process of dealing with this data should be conceived. This process contains five steps. Those are collecting data, cleaning data, storing data, analysing data and further analysis of data. The aim of the paper is to illustrate every step. The fourth and fifth steps will be introduced in detail. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1504/IJCSE.2020.110543 | INTERNATIONAL JOURNAL OF COMPUTATIONAL SCIENCE AND ENGINEERING |
Keywords | DocType | Volume |
big data, visualisation, analysis, process, graph | Journal | 23 |
Issue | ISSN | Citations |
2 | 1742-7185 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guang Sun | 1 | 49 | 7.06 |
| Hongzhang Lv | 2 | 0 | 0.34 |
| Wangdong Jiang | 3 | 0 | 0.34 |
| Fenghua Li | 4 | 263 | 34.70 |