Name
Abstract | ||
|---|---|---|
Big Data has become a very popular term. It refers to the enormous amount of structured, semi-structured and unstructured data that are exponentially generated by high-performance applications in many domains: biochemistry, genetics, molecular biology, physics, astronomy, business, to mention a few. Since the literature of Big Data has increased significantly in recent years, it becomes necessary to develop an overview of the state-of-the-art in Big Data. This paper aims to provide a comprehensive review of Big Data literature of the last 4 years, to identify the main challenges, areas of application, tools and emergent trends of Big Data. To meet this objective, we have analyzed and classified 457 papers concerning Big Data. This review gives relevant information to practitioners and researchers about the main trends in research and application of Big Data in different technical domains, as well as a reference overview of Big Data tools. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11227-015-1501-1 | The Journal of Supercomputing |
Keywords | Field | DocType |
Application domains,Classification,Big Data,Literature review | Data science,Computer science,Unstructured data,Big data | Journal |
Volume | Issue | ISSN |
72 | 8 | 0920-8542 |
Citations | PageRank | References |
14 | 0.69 | 101 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lisbeth Rodríguez-Mazahua | 1 | 33 | 4.13 |
| cristianaaron rodriguezenriquez | 2 | 14 | 0.69 |
| José Luis Sánchez-Cervantes | 3 | 46 | 8.92 |
| Jair Cervantes | 4 | 176 | 18.08 |
| Jorge L. Garcia-Alcaraz | 5 | 38 | 10.26 |
| Giner Alor-Hernandez | 6 | 54 | 9.40 |