Name
Abstract | ||
|---|---|---|
How has the interdisciplinary data mining field been practiced in Network and Systems Management (NSM)? In Science and Technology, there is a wide use of data mining in areas like bioinformatics, genetics, Web and more recently astroinformatics. However, the application in NSM has been limited and inconsiderable. In this article, we provide an account of how data mining has been applied in managing networks and systems for the past four decades, presumably since its birth. We look into the field’s applications in the key NSM activities – discovery, monitoring, analysis, reporting and domain knowledge acquisition. In the end, we discuss our perspective on the issues that are considered critical for the effective application of data mining in the modern systems which are characterized by heterogeneity and high dynamism. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TKDE.2015.2426713 | IEEE Transactions on Knowledge and Data Engineering |
Keywords | Field | DocType |
Data Mining, network and systems management, machine learning | Dynamism,Data science,Data mining,Data modeling,Data stream mining,Domain knowledge,Computer science,Astroinformatics,Systems management | Journal |
Volume | Issue | ISSN |
PP | 99 | 1041-4347 |
Citations | PageRank | References |
3 | 0.54 | 72 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Khamisi Kalegele | 1 | 9 | 4.68 |
| Kazuto Sasai | 2 | 16 | 9.64 |
| Hideyuki Takahashi | 3 | 20 | 5.74 |
| Gen Kitagata | 4 | 68 | 21.66 |
| Tetsuo Kinoshita | 5 | 343 | 85.41 |