Name
Abstract | ||
|---|---|---|
The Predictive Analytics for Server Incident Reduction (PASIR) solution developed at IBM has been broadly deployed to 130 IT environments since the beginning of 2014. The infrastructures of these IT environments, pertaining to various industries around the world, are serviced by IBM support groups. More specifically, incidents occurring on servers, including the descriptions of the problems, are r... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1147/JRD.2016.2631400 | IBM Journal of Research and Development |
Keywords | Field | DocType |
Servers,Degradation,Predictive modeling,Labeling,Data models,Hardware | Data science,IBM,Predictive analytics,Computer science,Server,Ticket,Unavailability,Classifier (linguistics),Management system | Journal |
Volume | Issue | ISSN |
61 | 1 | 0018-8646 |
Citations | PageRank | References |
1 | 0.35 | 15 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ioana Giurgiu | 1 | 213 | 14.09 |
| Dorothea Wiesmann | 2 | 41 | 4.30 |
| Jasmina Bogojeska | 3 | 144 | 8.54 |
| David Lanyi | 4 | 11 | 1.98 |
| George Stark | 5 | 18 | 2.36 |
| R. B. Wallace | 6 | 1 | 0.35 |
| M. Pereira | 7 | 19 | 3.65 |
| A. A. Hidalgo | 8 | 1 | 0.35 |