Name
Abstract | ||
|---|---|---|
In recent years, there has been an increased need for the use of active systems – systems that include substantial processing which should be triggered by events. In many cases, however, there is an information gap between the actual occurrences of events to which such a system must respond, and the data generated by monitoring tools regarding these events. For example, some events, by their very nature, may not be signaled by any monitoring tools, or the inaccuracy of monitoring tools may incorrectly reflect the information associated with events. The result is that in many cases, there is uncertainty in the active system associated with event occurrence. In this paper, we provide a taxonomy of the sources of this uncertainty. Furthermore, we provide a formal way to represent this uncertainty, which is the first step towards addressing the aforementioned information gap. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11780991_16 | NGITS |
Keywords | Field | DocType |
information gap,active system,increased need,event occurrence,monitoring tool,aforementioned information gap,actual occurrence,substantial processing,recent year | Data science,Information system,Data mining,Computer science,Artificial intelligence,Reactive system,Active systems | Conference |
Volume | ISSN | ISBN |
4032 | 0302-9743 | 3-540-35472-7 |
Citations | PageRank | References |
8 | 0.60 | 5 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Segev Wasserkrug | 1 | 140 | 12.25 |
| Avigdor Gal | 2 | 1128 | 116.45 |
| Opher Etzion | 3 | 798 | 148.62 |