Name
Abstract | ||
|---|---|---|
Translational cancer research requires integrative analysis of multiple levels of big cancer data to identify and treat cancer. In order to address the issues that data is decentralised, growing and continually being updated, and the content living or archiving on different information sources partially overlaps creating redundancies as well as contradictions and inconsistencies, we develop a data network model and technology for constructing and managing big cancer data. To support our data network approach for data process and analysis, we employ a semantic content network approach and adopt the CELAR cloud platform. The prototype implementation shows that the CELAR cloud can satisfy the on-demanding needs of various data resources for management and process of big cancer data. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s10586-015-0456-6 | Cluster Computing |
Keywords | Field | DocType |
Big data,Data network,Cloud computing | Data science,World Wide Web,Data processing,Data resources,Computer science,Big data,Cloud computing | Journal |
Volume | Issue | ISSN |
18 | 3 | 1386-7857 |
Citations | PageRank | References |
4 | 0.45 | 14 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wei Xing | 1 | 64 | 16.54 |
| Wei Jie | 2 | 71 | 12.25 |
| Dimitrios Tsoumakos | 3 | 581 | 44.06 |
| Moustafa Ghanem | 4 | 538 | 53.05 |