Name
Abstract | ||
|---|---|---|
The age of big data is now coming. But the traditional data
analytics may not be able to handle such large quantities of data. The question that arises now is, how to develop a high performance platform to efficiently analyze big data and
how to design an appropriate mining algorithm to find the useful things from big data. To deeply discuss this issue, this paper begins with a brief introduction to data analytics, followed by the discussions of big data analytics.
Some important open issues and further research directions will also be presented for the next step of big data analytics. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1186/s40537-015-0030-3 | J. Big Data |
Keywords | Field | DocType |
Big data, data analytics, data mining | Data science,Data mining,Business analytics,Software analytics,Computer science,Web analytics,Semantic analytics,Cultural analytics,Business intelligence,Analytics,Big data | Journal |
Volume | Issue | ISSN |
2 | 1 | 2196-1115 |
Citations | PageRank | References |
71 | 1.90 | 91 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chun-Wei Tsai | 1 | 759 | 62.10 |
| Chin-Feng Lai | 2 | 973 | 74.85 |
| Han-Chieh Chao | 3 | 2502 | 214.00 |
| Athanasios V. Vasilakos | 4 | 12735 | 523.55 |