Name
Abstract | ||
|---|---|---|
Embedded analytics and statistics for big data have emerged as an important topic across industries. As the volumes of data have increased, software engineers are called to support data analysis and applying some kind of statistics to them. This article provides an overview of tools and libraries for embedded data analytics and statistics, both stand-alone software packages and programming languages with statistical capabilities. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/MS.2013.125 | IEEE Software |
Keywords | Field | DocType |
data analysis,stand-alone software package,statistical capability,big data,embedded data analytics,programming language,important topic,software engineer,information management,embedded systems,statistics,linux,high level languages,statistical analysis,programming,data handling | Data science,Business analytics,Software engineering,Data analysis,Software analytics,Computer science,Semantic analytics,Software,Cultural analytics,Statistics,Analytics,Big data | Journal |
Volume | Issue | ISSN |
30 | 6 | 0740-7459 |
Citations | PageRank | References |
8 | 0.60 | 1 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Panos Louridas | 1 | 49 | 11.16 |
| Christof Ebert | 2 | 1012 | 96.11 |